[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"similar-ThilinaRajapakse--simpletransformers":3,"tool-ThilinaRajapakse--simpletransformers":64},[4,17,25,39,48,56],{"id":5,"name":6,"github_repo":7,"description_zh":8,"stars":9,"difficulty_score":10,"last_commit_at":11,"category_tags":12,"status":16},1381,"everything-claude-code","affaan-m\u002Feverything-claude-code","everything-claude-code 是一套专为 AI 编程助手（如 Claude Code、Codex、Cursor 等）打造的高性能优化系统。它不仅仅是一组配置文件，而是一个经过长期实战打磨的完整框架，旨在解决 AI 代理在实际开发中面临的效率低下、记忆丢失、安全隐患及缺乏持续学习能力等核心痛点。\n\n通过引入技能模块化、直觉增强、记忆持久化机制以及内置的安全扫描功能，everything-claude-code 能显著提升 AI 在复杂任务中的表现，帮助开发者构建更稳定、更智能的生产级 AI 代理。其独特的“研究优先”开发理念和针对 Token 消耗的优化策略，使得模型响应更快、成本更低，同时有效防御潜在的攻击向量。\n\n这套工具特别适合软件开发者、AI 研究人员以及希望深度定制 AI 工作流的技术团队使用。无论您是在构建大型代码库，还是需要 AI 协助进行安全审计与自动化测试，everything-claude-code 都能提供强大的底层支持。作为一个曾荣获 Anthropic 黑客大奖的开源项目，它融合了多语言支持与丰富的实战钩子（hooks），让 AI 真正成长为懂上",138956,2,"2026-04-05T11:33:21",[13,14,15],"开发框架","Agent","语言模型","ready",{"id":18,"name":19,"github_repo":20,"description_zh":21,"stars":22,"difficulty_score":10,"last_commit_at":23,"category_tags":24,"status":16},3704,"NextChat","ChatGPTNextWeb\u002FNextChat","NextChat 是一款轻量且极速的 AI 助手，旨在为用户提供流畅、跨平台的大模型交互体验。它完美解决了用户在多设备间切换时难以保持对话连续性，以及面对众多 AI 模型不知如何统一管理的痛点。无论是日常办公、学习辅助还是创意激发，NextChat 都能让用户随时随地通过网页、iOS、Android、Windows、MacOS 或 Linux 端无缝接入智能服务。\n\n这款工具非常适合普通用户、学生、职场人士以及需要私有化部署的企业团队使用。对于开发者而言，它也提供了便捷的自托管方案，支持一键部署到 Vercel 或 Zeabur 等平台。\n\nNextChat 的核心亮点在于其广泛的模型兼容性，原生支持 Claude、DeepSeek、GPT-4 及 Gemini Pro 等主流大模型，让用户在一个界面即可自由切换不同 AI 能力。此外，它还率先支持 MCP（Model Context Protocol）协议，增强了上下文处理能力。针对企业用户，NextChat 提供专业版解决方案，具备品牌定制、细粒度权限控制、内部知识库整合及安全审计等功能，满足公司对数据隐私和个性化管理的高标准要求。",87618,"2026-04-05T07:20:52",[13,15],{"id":26,"name":27,"github_repo":28,"description_zh":29,"stars":30,"difficulty_score":10,"last_commit_at":31,"category_tags":32,"status":16},2268,"ML-For-Beginners","microsoft\u002FML-For-Beginners","ML-For-Beginners 是由微软推出的一套系统化机器学习入门课程，旨在帮助零基础用户轻松掌握经典机器学习知识。这套课程将学习路径规划为 12 周，包含 26 节精炼课程和 52 道配套测验，内容涵盖从基础概念到实际应用的完整流程，有效解决了初学者面对庞大知识体系时无从下手、缺乏结构化指导的痛点。\n\n无论是希望转型的开发者、需要补充算法背景的研究人员，还是对人工智能充满好奇的普通爱好者，都能从中受益。课程不仅提供了清晰的理论讲解，还强调动手实践，让用户在循序渐进中建立扎实的技能基础。其独特的亮点在于强大的多语言支持，通过自动化机制提供了包括简体中文在内的 50 多种语言版本，极大地降低了全球不同背景用户的学习门槛。此外，项目采用开源协作模式，社区活跃且内容持续更新，确保学习者能获取前沿且准确的技术资讯。如果你正寻找一条清晰、友好且专业的机器学习入门之路，ML-For-Beginners 将是理想的起点。",84991,"2026-04-05T10:45:23",[33,34,35,36,14,37,15,13,38],"图像","数据工具","视频","插件","其他","音频",{"id":40,"name":41,"github_repo":42,"description_zh":43,"stars":44,"difficulty_score":45,"last_commit_at":46,"category_tags":47,"status":16},3128,"ragflow","infiniflow\u002Fragflow","RAGFlow 是一款领先的开源检索增强生成（RAG）引擎，旨在为大语言模型构建更精准、可靠的上下文层。它巧妙地将前沿的 RAG 技术与智能体（Agent）能力相结合，不仅支持从各类文档中高效提取知识，还能让模型基于这些知识进行逻辑推理和任务执行。\n\n在大模型应用中，幻觉问题和知识滞后是常见痛点。RAGFlow 通过深度解析复杂文档结构（如表格、图表及混合排版），显著提升了信息检索的准确度，从而有效减少模型“胡编乱造”的现象，确保回答既有据可依又具备时效性。其内置的智能体机制更进一步，使系统不仅能回答问题，还能自主规划步骤解决复杂问题。\n\n这款工具特别适合开发者、企业技术团队以及 AI 研究人员使用。无论是希望快速搭建私有知识库问答系统，还是致力于探索大模型在垂直领域落地的创新者，都能从中受益。RAGFlow 提供了可视化的工作流编排界面和灵活的 API 接口，既降低了非算法背景用户的上手门槛，也满足了专业开发者对系统深度定制的需求。作为基于 Apache 2.0 协议开源的项目，它正成为连接通用大模型与行业专有知识之间的重要桥梁。",77062,3,"2026-04-04T04:44:48",[14,33,13,15,37],{"id":49,"name":50,"github_repo":51,"description_zh":52,"stars":53,"difficulty_score":45,"last_commit_at":54,"category_tags":55,"status":16},519,"PaddleOCR","PaddlePaddle\u002FPaddleOCR","PaddleOCR 是一款基于百度飞桨框架开发的高性能开源光学字符识别工具包。它的核心能力是将图片、PDF 等文档中的文字提取出来，转换成计算机可读取的结构化数据，让机器真正“看懂”图文内容。\n\n面对海量纸质或电子文档，PaddleOCR 解决了人工录入效率低、数字化成本高的问题。尤其在人工智能领域，它扮演着连接图像与大型语言模型（LLM）的桥梁角色，能将视觉信息直接转化为文本输入，助力智能问答、文档分析等应用场景落地。\n\nPaddleOCR 适合开发者、算法研究人员以及有文档自动化需求的普通用户。其技术优势十分明显：不仅支持全球 100 多种语言的识别，还能在 Windows、Linux、macOS 等多个系统上运行，并灵活适配 CPU、GPU、NPU 等各类硬件。作为一个轻量级且社区活跃的开源项目，PaddleOCR 既能满足快速集成的需求，也能支撑前沿的视觉语言研究，是处理文字识别任务的理想选择。",74913,"2026-04-05T10:44:17",[15,33,13,37],{"id":57,"name":58,"github_repo":59,"description_zh":60,"stars":61,"difficulty_score":45,"last_commit_at":62,"category_tags":63,"status":16},2181,"OpenHands","OpenHands\u002FOpenHands","OpenHands 是一个专注于 AI 驱动开发的开源平台，旨在让智能体（Agent）像人类开发者一样理解、编写和调试代码。它解决了传统编程中重复性劳动多、环境配置复杂以及人机协作效率低等痛点，通过自动化流程显著提升开发速度。\n\n无论是希望提升编码效率的软件工程师、探索智能体技术的研究人员，还是需要快速原型验证的技术团队，都能从中受益。OpenHands 提供了灵活多样的使用方式：既可以通过命令行（CLI）或本地图形界面在个人电脑上轻松上手，体验类似 Devin 的流畅交互；也能利用其强大的 Python SDK 自定义智能体逻辑，甚至在云端大规模部署上千个智能体并行工作。\n\n其核心技术亮点在于模块化的软件智能体 SDK，这不仅构成了平台的引擎，还支持高度可组合的开发模式。此外，OpenHands 在 SWE-bench 基准测试中取得了 77.6% 的优异成绩，证明了其解决真实世界软件工程问题的能力。平台还具备完善的企业级功能，支持与 Slack、Jira 等工具集成，并提供细粒度的权限管理，适合从个人开发者到大型企业的各类用户场景。",70612,"2026-04-05T11:12:22",[15,14,13,36],{"id":65,"github_repo":66,"name":67,"description_en":68,"description_zh":69,"ai_summary_zh":70,"readme_en":71,"readme_zh":72,"quickstart_zh":73,"use_case_zh":74,"hero_image_url":75,"owner_login":76,"owner_name":77,"owner_avatar_url":78,"owner_bio":79,"owner_company":80,"owner_location":81,"owner_email":82,"owner_twitter":83,"owner_website":84,"owner_url":85,"languages":86,"stars":99,"forks":100,"last_commit_at":101,"license":102,"difficulty_score":45,"env_os":103,"env_gpu":104,"env_ram":103,"env_deps":105,"category_tags":114,"github_topics":115,"view_count":45,"oss_zip_url":121,"oss_zip_packed_at":121,"status":16,"created_at":122,"updated_at":123,"faqs":124,"releases":152},1110,"ThilinaRajapakse\u002Fsimpletransformers","simpletransformers","Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI","Simple Transformers 是一个基于 HuggingFace Transformers 库构建的开源工具，专为简化 Transformer 模型的训练与应用而设计。它通过高度封装的接口，让开发者和研究人员仅需三行代码即可完成模型初始化、训练和评估流程，显著降低了使用前沿 NLP 技术的门槛。\n\n这个工具主要解决传统 Transformer 模型实现复杂度高的问题。无论是信息检索、文本分类、命名实体识别，还是问答系统、语言生成等任务，用户无需深入理解模型底层结构，即可快速搭建定制化解决方案。其内置对 T5、BERT 等主流架构的支持，同时涵盖多模态分类和对话系统等前沿场景。\n\n适合需要快速验证 NLP 模型的开发者、学术研究者以及 AI 初学者使用。对于希望将注意力集中在数据处理和业务逻辑而非代码实现的用户而言，其预设的训练流程和自动优化功能尤为实用。配合 Weights & Biases 集成，还能实现训练过程的可视化追踪。\n\n技术亮点包括：统一的多任务接口设计、自动化的超参数优化机制、以及对 GPU\u002FTPU 的即插即用支持。通过封装复杂的模型配置，同时保留关键参数的可调","Simple Transformers 是一个基于 HuggingFace Transformers 库构建的开源工具，专为简化 Transformer 模型的训练与应用而设计。它通过高度封装的接口，让开发者和研究人员仅需三行代码即可完成模型初始化、训练和评估流程，显著降低了使用前沿 NLP 技术的门槛。\n\n这个工具主要解决传统 Transformer 模型实现复杂度高的问题。无论是信息检索、文本分类、命名实体识别，还是问答系统、语言生成等任务，用户无需深入理解模型底层结构，即可快速搭建定制化解决方案。其内置对 T5、BERT 等主流架构的支持，同时涵盖多模态分类和对话系统等前沿场景。\n\n适合需要快速验证 NLP 模型的开发者、学术研究者以及 AI 初学者使用。对于希望将注意力集中在数据处理和业务逻辑而非代码实现的用户而言，其预设的训练流程和自动优化功能尤为实用。配合 Weights & Biases 集成，还能实现训练过程的可视化追踪。\n\n技术亮点包括：统一的多任务接口设计、自动化的超参数优化机制、以及对 GPU\u002FTPU 的即插即用支持。通过封装复杂的模型配置，同时保留关键参数的可调节性，既保证了易用性又不失灵活性。2024 年发表于 SIGIR-AP 的论文也印证了其学术价值。","[![License](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-Apache%202.0-blue.svg)](https:\u002F\u002Fopensource.org\u002Flicenses\u002FApache-2.0) [![Downloads](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_4c816aaf47e8.png)](https:\u002F\u002Fpepy.tech\u002Fproject\u002Fsimpletransformers)\n\u003C!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section -->\n[![All Contributors](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fall_contributors-93-orange.svg?style=flat-square)](#contributors-)\n\u003C!-- ALL-CONTRIBUTORS-BADGE:END -->\n\n# Simple Transformers\n\nThis library is based on the [Transformers](https:\u002F\u002Fgithub.com\u002Fhuggingface\u002Ftransformers) library by HuggingFace. `Simple Transformers` lets you quickly train and evaluate Transformer models. Only 3 lines of code are needed to **initialize**, **train**, and **evaluate** a model.\n\n**Supported Tasks:**\n\n- Information Retrieval (Dense Retrieval)\n- (Large) Language Models (Training, Fine-tuning, and Generation)\n- Encoder Model Training and Fine-tuning\n- Sequence Classification\n- Token Classification (NER)\n- Question Answering\n- Language Generation\n- T5 Model\n- Seq2Seq Tasks\n- Multi-Modal Classification\n- Conversational AI\n\n# Citation\n\nIf you use Simple Transformers in your work, please cite:\n\n```bibtex\n@inproceedings{Rajapakse2024SimpleTransformers,\n  author    = {Rajapakse, Thilina C. and Yates, Andrew and de Rijke, Maarten},\n  title     = {Simple Transformers: Open-source for All},\n  booktitle = {Proceedings of the 2024 Annual International ACM SIGIR\n               Conference on Research and Development in Information\n               Retrieval in the Asia Pacific Region},\n  series    = {SIGIR-AP 2024},\n  pages     = {209--215},\n  year      = {2024},\n  doi       = {10.1145\u002F3673791.3698412},\n  url       = {https:\u002F\u002Fdoi.org\u002F10.1145\u002F3673791.3698412},\n  location  = {Tokyo, Japan}\n}\n```\n\n\n\n# Table of contents\n\n\u003C!--ts-->\n\n- [Simple Transformers](#simple-transformers)\n- [Table of contents](#table-of-contents)\n  - [Setup](#setup)\n    - [With Conda](#with-conda)\n      - [Optional](#optional)\n  - [Usage](#usage)\n    - [A quick example](#a-quick-example)\n    - [Experiment Tracking with Weights and Biases](#experiment-tracking-with-weights-and-biases)\n  - [Current Pretrained Models](#current-pretrained-models)\n  - [Contributors ✨](#contributors-)\n  - [How to Contribute](#how-to-contribute)\n    - [How to Update Docs](#how-to-update-docs)\n  - [Acknowledgements](#acknowledgements)\n\n\u003C!--te-->\n\n## Setup\n\n### With Conda\n\n1. Install `Anaconda` or `Miniconda` Package Manager from [here](https:\u002F\u002Fwww.anaconda.com\u002Fdistribution\u002F)\n2. Create a new virtual environment and install packages.\n\n```bash\n$ conda create -n st python pandas tqdm\n$ conda activate st\n```\n\nUsing Cuda:\n\n```bash\n$ conda install pytorch>=1.6 cudatoolkit=11.0 -c pytorch\n```\n\nWithout using Cuda\n\n```bash\n$ conda install pytorch cpuonly -c pytorch\n```\n\n3. Install `simpletransformers`.\n\n```bash\n$ pip install simpletransformers\n```\n\n#### Optional\n\n1. Install `Weights` and `Biases` (wandb) for tracking and visualizing training in a web browser.\n\n```bash\n$ pip install wandb\n```\n\n## Usage\n\n**All documentation is now live at [simpletransformers.ai](https:\u002F\u002Fsimpletransformers.ai\u002F)**\n\n`Simple Transformer` models are built with a particular Natural Language Processing (NLP) task in mind. Each such model comes equipped with features and functionality designed to best fit the task that they are intended to perform. The high-level process of using Simple Transformers models follows the same pattern.\n\n1. Initialize a task-specific model\n2. Train the model with `train_model()`\n3. Evaluate the model with `eval_model()`\n4. Make predictions on (unlabelled) data with `predict()`\n\nHowever, there are necessary differences between the different models to ensure that they are well suited for their intended task. The key differences will typically be the differences in input\u002Foutput data formats and any task specific features\u002Fconfiguration options. These can all be found in the documentation section for each task.\n\nThe currently implemented task-specific `Simple Transformer` models, along with their task, are given below.\n\n| Task                                                      | Model                           |\n| --------------------------------------------------------- | ------------------------------- |\n| Binary and multi-class text classification                | `ClassificationModel`           |\n| Conversational AI (chatbot training)                      | `ConvAIModel`                   |\n| Language generation                                       | `LanguageGenerationModel`       |\n| Language model training\u002Ffine-tuning                       | `LanguageModelingModel`         |\n| Multi-label text classification                           | `MultiLabelClassificationModel` |\n| Multi-modal classification (text and image data combined) | `MultiModalClassificationModel` |\n| Named entity recognition                                  | `NERModel`                      |\n| Question answering                                        | `QuestionAnsweringModel`        |\n| Regression                                                | `ClassificationModel`           |\n| Sentence-pair classification                              | `ClassificationModel`           |\n| Text Representation Generation                            | `RepresentationModel`           |\n| Document Retrieval                                        | `RetrievalModel`                |\n\n- **Please refer to the relevant section in the [docs](https:\u002F\u002Fsimpletransformers.ai\u002F) for more information on how to use these models.**\n- Example scripts can be found in the [examples](https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Ftree\u002Fmaster\u002Fexamples) directory.\n- See the [Changelog](https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fblob\u002Fmaster\u002FCHANGELOG.md) for up-to-date changes to the project.\n\n### A quick example\n\n```python\nfrom simpletransformers.classification import ClassificationModel, ClassificationArgs\nimport pandas as pd\nimport logging\n\n\nlogging.basicConfig(level=logging.INFO)\ntransformers_logger = logging.getLogger(\"transformers\")\ntransformers_logger.setLevel(logging.WARNING)\n\n# Preparing train data\ntrain_data = [\n    [\"Aragorn was the heir of Isildur\", 1],\n    [\"Frodo was the heir of Isildur\", 0],\n]\ntrain_df = pd.DataFrame(train_data)\ntrain_df.columns = [\"text\", \"labels\"]\n\n# Preparing eval data\neval_data = [\n    [\"Theoden was the king of Rohan\", 1],\n    [\"Merry was the king of Rohan\", 0],\n]\neval_df = pd.DataFrame(eval_data)\neval_df.columns = [\"text\", \"labels\"]\n\n# Optional model configuration\nmodel_args = ClassificationArgs(num_train_epochs=1)\n\n# Create a ClassificationModel\nmodel = ClassificationModel(\n    \"roberta\", \"roberta-base\", args=model_args\n)\n\n# Train the model\nmodel.train_model(train_df)\n\n# Evaluate the model\nresult, model_outputs, wrong_predictions = model.eval_model(eval_df)\n\n# Make predictions with the model\npredictions, raw_outputs = model.predict([\"Sam was a Wizard\"])\n\n```\n\n### Experiment Tracking with Weights and Biases\n\n- Weights and Biases makes it incredibly easy to keep track of all your experiments. Check it out on Colab here: [![Open In Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](http:\u002F\u002Fwandb.me\u002Fsimpletformers-QA-colab)\n\n\n---\n\n## Current Pretrained Models\n\nFor a list of pretrained models, see [Hugging Face docs](https:\u002F\u002Fhuggingface.co\u002Fpytorch-transformers\u002Fpretrained_models.html).\n\nThe `model_types` available for each task can be found under their respective section. Any pretrained model of that type\nfound in the Hugging Face docs should work. To use any of them set the correct `model_type` and `model_name` in the `args`\ndictionary.\n\n---\n\n## Contributors ✨\n\nThanks goes to these wonderful people ([emoji key](https:\u002F\u002Fallcontributors.org\u002Fdocs\u002Fen\u002Femoji-key)):\n\n\u003C!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->\n\u003C!-- prettier-ignore-start -->\n\u003C!-- markdownlint-disable -->\n\u003Ctable>\n  \u003Ctbody>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fhawktang\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_f8851831b2a6.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>hawktang\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=hawktang\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Fdatawizzards.io\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_7f8054f7f9fd.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Mabu Manaileng\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=mabu-dev\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fwww.facebook.com\u002Faliosm97\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_2e20b20a7f11.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Ali Hamdi Ali Fadel\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=AliOsm\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Ftovly.co\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_c4eb3ddc7649.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Tovly Deutsch\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=TovlyDeutsch\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fhlo-world\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_4ef0fa431953.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>hlo-world\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=hlo-world\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fhuntertl\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_d22a385d731e.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>huntertl\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=huntertl\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fwhattheshot.com\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_d8082aceeb4e.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Yann Defretin\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=kinoute\" title=\"Code\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=kinoute\" title=\"Documentation\">📖\u003C\u002Fa> \u003Ca href=\"#question-kinoute\" title=\"Answering Questions\">💬\u003C\u002Fa> \u003Ca href=\"#ideas-kinoute\" title=\"Ideas, Planning, & Feedback\">🤔\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmananeau\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_72b69b187222.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Manuel \u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=mananeau\" title=\"Documentation\">📖\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=mananeau\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Fjacobsgill.es\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_b422a05f9548.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Gilles Jacobs\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=GillesJ\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fshasha79\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_b98a01251125.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>shasha79\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=shasha79\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Fwww-lium.univ-lemans.fr\u002F~garcia\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_1b0bcaa266dd.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Mercedes Garcia\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=merc85garcia\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fhammad26\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_d79c36355ef4.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Hammad Hassan Tarar\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=hammad26\" title=\"Code\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=hammad26\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ftodd-cook\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_b0b79952b45d.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Todd Cook\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=todd-cook\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Fknuthellan.com\u002F\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_524f2eebea9c.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Knut O. Hellan\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=khellan\" title=\"Code\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=khellan\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fnagenshukla\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_108826275a31.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>nagenshukla\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=nagenshukla\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fflaviussn\u002F\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_c01618e405d1.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>flaviussn\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=flaviussn\" title=\"Code\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=flaviussn\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Fmarctorrellas.github.com\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_fc9f2070f1b1.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Marc Torrellas\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"#maintenance-marctorrellas\" title=\"Maintenance\">🚧\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fadrienrenaud\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_0212b98759ea.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Adrien Renaud\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=adrienrenaud\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fjacky18008\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_d0dbb11cf1a6.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>jacky18008\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=jacky18008\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fseo-95\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_4af3beaeb2f1.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Matteo Senese\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=seo-95\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FsarthakTUM\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_cd15b2c15a29.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>sarthakTUM\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=sarthakTUM\" title=\"Documentation\">📖\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=sarthakTUM\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fdjstrong\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_367b7119aafc.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>djstrong\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=djstrong\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Fkozistr.tech\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_e8b266c10b6b.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Hyeongchan Kim\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=kozistr\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FPradhy729\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_b1853e41f7c3.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Pradhy729\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=Pradhy729\" title=\"Code\">💻\u003C\u002Fa> \u003Ca href=\"#maintenance-Pradhy729\" title=\"Maintenance\">🚧\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fiknoorjobs.github.io\u002F\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_7fac1f2d1c36.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Iknoor Singh\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=iknoorjobs\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fgaltay\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_b1c8733f1f6f.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Gabriel Altay\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=galtay\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fa-ware.io\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_a4b919c4c074.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>flozi00\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=flozi00\" title=\"Documentation\">📖\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=flozi00\" title=\"Code\">💻\u003C\u002Fa> \u003Ca href=\"#maintenance-flozi00\" title=\"Maintenance\">🚧\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Falexysdussier\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_7cb5452f95e8.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>alexysdussier\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=alexysdussier\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fjqueguiner\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_3187e321aa0e.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Jean-Louis Queguiner\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=jqueguiner\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Faced125\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_997f8b5a3e3e.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>aced125\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=aced125\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FLaksh1997\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_d16f39d4cf29.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Laksh1997\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=Laksh1997\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fchanglinz\u002F\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_8bcb3c585047.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Changlin_NLP\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=alexucb\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fjpotoniec\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_d8c86bd5b9d9.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>jpotoniec\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=jpotoniec\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ffcggamou\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_32c0b83031e3.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>fcggamou\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=fcggamou\" title=\"Code\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=fcggamou\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fguy-mor\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_11976eae88fc.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>guy-mor\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fissues?q=author%3Aguy-mor\" title=\"Bug reports\">🐛\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=guy-mor\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fcahya-wirawan\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_5a6eacf72847.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Cahya Wirawan\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=cahya-wirawan\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FBjarkePedersen\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_88d3e107ecc2.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>BjarkePedersen\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=BjarkePedersen\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ftekkkon\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_4cd81005386e.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>tekkkon\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=tekkkon\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fgarg-amit\u002F\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_5da86625361f.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Amit Garg\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=Amit80007\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fcaprone\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_2876945df2e9.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>caprone\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fissues?q=author%3Acaprone\" title=\"Bug reports\">🐛\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Father-fawaz-024596134\u002F\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_fafcd277d6f0.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Ather Fawaz\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=atherfawaz\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fsanti.uy\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_8e7aa72643be.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Santiago Castro\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=bryant1410\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ftaranais\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_0fa7e7bf4aba.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>taranais\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=taranais\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Fpablomarino.me\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_11ecc8e67dcd.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Pablo N. Marino\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=pablonm3\" title=\"Code\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=pablonm3\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Flinkedin.com\u002Fin\u002Fstrawberrypie\u002F\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_381d86bc6b12.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Anton Kiselev\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=strawberrypie\" title=\"Code\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=strawberrypie\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FSxela\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_fd9e7e4f4943.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Alex\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=Sxela\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fkarthik19967829\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_3f2c176a52c9.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Karthik Ganesan\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=karthik19967829\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fwww.facebook.com\u002Fprofile.php?id=100009572680557\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_70d19df617d9.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Zhylko Dima\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=Zhylkaaa\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fjonatanklosko.com\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_ab190b1defde.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Jonatan Kłosko\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=jonatanklosko\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fsarapapi\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_90b895b48fb7.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>sarapapi\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=sarapapi\" title=\"Code\">💻\u003C\u002Fa> \u003Ca href=\"#question-sarapapi\" title=\"Answering Questions\">💬\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fab-cse.web.app\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_7e7566e869c0.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Abdul\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=macabdul9\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fjamesmilliman\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_81d7591f6e86.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>James Milliman\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=jamesmilliman\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fparmarsuraj99.github.io\u002Fsuraj-parmar\u002F\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_deb64c737acf.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Suraj Parmar\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=parmarsuraj99\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fvelog.io\u002F@kwanhong66\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_dec496935443.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>KwanHong Lee\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"#question-kwanhong66\" title=\"Answering Questions\">💬\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Fjulielab.de\u002FStaff\u002FErik+F%C3%A4%C3%9Fler.html\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_1751151af21d.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Erik Fäßler\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=khituras\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fohstopityou\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_daf9e0d9632f.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Thomas Søvik\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"#question-ohstopityou\" title=\"Answering Questions\">💬\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fgaganmanku96\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_eac970e607d6.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Gagandeep Singh\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=gaganmanku96\" title=\"Code\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=gaganmanku96\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Fwww.esuli.it\u002F\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_cba555742214.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Andrea Esuli\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=aesuli\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FDM2493\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_91d1e44335dd.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>DM2493\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=DM2493\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fmapmeld.com\u002Fml\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_1cfa52754eb8.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Nick Doiron\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=mapmeld\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fabhinavg97\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_0684606c9f4c.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Abhinav Gupta\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=abhinavg97\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fmartinnormark.com\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_812d592119a3.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Martin H. Normark\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=martinnormark\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmossadhelali\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_e08cbe937037.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Mossad Helali\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=mossadhelali\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fcalebchiam\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_8d923153b4d0.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>calebchiam\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=calebchiam\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fwww.sartiano.info\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_4f091ff76552.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Daniele Sartiano\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=daniele-sartiano\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ftuner007\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_b756b8af7532.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>tuner007\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=tuner007\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fnilboy\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_1432f5ff87b1.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>xia jiang\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=nilboy\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Fpurl.org\u002Fnet\u002Fhbuschme\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_84222826ddca.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Hendrik Buschmeier\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=hbuschme\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fpotpath\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_2f2b4f6c149d.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Mana Borwornpadungkitti\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=potpath\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Frayline\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_08a9127afe6a.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>rayline\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=rayline\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmhdhdri\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_c752b6bc4316.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Mehdi Heidari\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=mhdhdri\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fwhr778\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_b6050e14aac1.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>William Roe\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=whr778\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Falvaroabascar\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_7aefca2c9e5b.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Álvaro Abella Bascarán\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=alvaroabascar\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fbrett-fazio\u002F\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_0731cf8006cc.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Brett Fazio\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=brettfazio\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ftiena2cva\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_d5eb563341a1.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Viet-Tien\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=tiena2cva\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fbizzyvinci\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_20e355cf2730.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Bisola Olasehinde\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=bizzyvinci\" title=\"Code\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=bizzyvinci\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fwanchichen.github.io\u002F\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_88e7b640c8e4.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>William Chen\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=wanchichen\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Freza-ebrahimi\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_bf03073adb3a.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Reza Ebrahimi\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=reza-ebrahimi\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fgabriben\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_f69339283b46.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>gabriben\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=gabriben\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fpeacekurella\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_f15728ca6ee0.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Prashanth Kurella\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=peacekurella\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fdopc\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_f1717bf24d31.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>dopc\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=dopc\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fanaconda121\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_5753fff439a8.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Tanish Tyagi\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=anaconda121\" title=\"Documentation\">📖\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=anaconda121\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fkongyurui\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_2cab830e977c.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>kongyurui\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=kongyurui\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fecs.victoria.ac.nz\u002FMain\u002FAndrewLensen\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_deb4d5f440ad.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Andrew Lensen\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=AndLen\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fjinschoi\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_acf586b44fb8.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>jinschoi\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=jinschoi\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Flekhang4497\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_b1025a664c0b.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Le Nguyen Khang\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=lekhang4497\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fjordimas\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_4b2f9cc7b69e.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Jordi Mas\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=jordimas\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmxa4646\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_15a3d353a2dd.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>mxa\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=mxa4646\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FMichelBartels\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_e51d4ecabb71.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>MichelBartels\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=MichelBartels\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fluketudge\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_bef4d2132c62.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Luke Tudge\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=luketudge\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fsainttttt\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_9ffdfcaab42c.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Saint\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=sainttttt\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fdeltaxrg\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_228278152d64.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>deltaxrg\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=deltaxrg\" title=\"Code\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=deltaxrg\" title=\"Documentation\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FFortune-Adekogbe\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_f5b34fa39b05.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Fortune Adekogbe\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=Fortune-Adekogbe\" title=\"Code\">💻\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n  \u003C\u002Ftbody>\n\u003C\u002Ftable>\n\n\u003C!-- markdownlint-restore -->\n\u003C!-- prettier-ignore-end -->\n\n\u003C!-- ALL-CONTRIBUTORS-LIST:END -->\n\nThis project follows the [all-contributors](https:\u002F\u002Fgithub.com\u002Fall-contributors\u002Fall-contributors) specification. Contributions of any kind welcome!\n\n*If you should be on this list but you aren't, or you are on the list but don't want to be, please don't hesitate to contact me!*\n\n---\n\n## How to Contribute\n\n### How to Update Docs\n\nThe latest version of the docs is hosted on [Github Pages](https:\u002F\u002Fsimpletransformers.ai\u002F), if you want to help document Simple Transformers\nbelow are the steps to edit the docs.\nDocs are built using [Jekyll](https:\u002F\u002Fjekyllrb.com\u002F) library, refer to their webpage for a detailed explanation of how it works.\n\n1) **Install [Jekyll](https:\u002F\u002Fjekyllrb.com\u002F)**: Run the command `gem install bundler jekyll`\n2) **Visualizing the docs on your local computer**:\n   In your terminal cd into the docs directory of this repo, eg: `cd simpletransformers\u002Fdocs`\n   From the docs directory run this command to serve the Jekyll docs locally: `bundle exec jekyll serve`\n   Browse to http:\u002F\u002Flocalhost:4000 or whatever url you see in the console to visualize the docs.\n3) **Edit and visualize changes**:\n   All the section pages of our docs can be found under `docs\u002F_docs` directory, you can edit any file you want by following the markdown format and visualize the changes after refreshing the browser tab.\n\n---\n\n## Acknowledgements\n\nNone of this would have been possible without the hard work by the HuggingFace team in developing the [Transformers](https:\u002F\u002Fgithub.com\u002Fhuggingface\u002Ftransformers) library.\n\n_`\u003Cdiv>`Icon for the Social Media Preview made by `\u003Ca href=\"https:\u002F\u002Fwww.flaticon.com\u002Fauthors\u002Ffreepik\" title=\"Freepik\">`Freepik`\u003C\u002Fa>` from `\u003Ca href=\"https:\u002F\u002Fwww.flaticon.com\u002F\" title=\"Flaticon\">`www.flaticon.com`\u003C\u002Fa>\u003C\u002Fdiv>`_\n","[![License](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-Apache%202.0-blue.svg)](https:\u002F\u002Fopensource.org\u002Flicenses\u002FApache-2.0) [![Downloads](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_4c816aaf47e8.png)](https:\u002F\u002Fpepy.tech\u002Fproject\u002Fsimpletransformers)\n\u003C!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section -->\n[![All Contributors](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fall_contributors-93-orange.svg?style=flat-square)](#contributors-)\n\u003C!-- ALL-CONTRIBUTORS-BADGE:END -->\n\n# 简易变形金刚（Simple Transformers）\n\n本库基于 HuggingFace 的 [Transformers](https:\u002F\u002Fgithub.com\u002Fhuggingface\u002Ftransformers) 库构建。`Simple Transformers` 可让您快速训练和评估 Transformer 模型。仅需 **3 行代码**即可完成模型的**初始化**、**训练**和**评估**。\n\n**支持的任务：**\n\n- 信息检索（密集检索）\n- （大）语言模型（训练、微调和生成）\n- 编码器模型训练与微调\n- 序列分类\n- 标记分类（NER）\n- 问答系统\n- 语言生成\n- T5 模型\n- 序列到序列任务\n- 多模态分类\n- 对话式人工智能\n\n# 引用文献\n\n如果您在工作中使用了 Simple Transformers，请引用以下文献：\n\n```bibtex\n@inproceedings{Rajapakse2024SimpleTransformers,\n  author    = {Rajapakse, Thilina C. and Yates, Andrew and de Rijke, Maarten},\n  title     = {Simple Transformers: Open-source for All},\n  booktitle = {Proceedings of the 2024 Annual International ACM SIGIR\n               Conference on Research and Development in Information\n               Retrieval in the Asia Pacific Region},\n  series    = {SIGIR-AP 2024},\n  pages     = {209--215},\n  year      = {2024},\n  doi       = {10.1145\u002F3673791.3698412},\n  url       = {https:\u002F\u002Fdoi.org\u002F10.1145\u002F3673791.3698412},\n  location  = {Tokyo, Japan}\n}\n```\n\n# 目录\n\n\u003C!--ts-->\n\n- [简易变形金刚（Simple Transformers）](#simple-transformers)\n- [目录](#table-of-contents)\n  - [安装](#setup)\n    - [通过 Conda 安装](#with-conda)\n      - [可选步骤](#optional)\n  - [使用方法](#usage)\n    - [快速示例](#a-quick-example)\n    - [使用 Weights and Biases 进行实验跟踪](#experiment-tracking-with-weights-and-biases)\n  - [当前支持的预训练模型](#current-pretrained-models)\n  - [贡献者 ✨](#contributors-)\n  - [如何贡献代码](#how-to-contribute)\n    - [如何更新文档](#how-to-update-docs)\n  - [致谢](#acknowledgements)\n\n\u003C!--te-->\n\n## 安装\n\n### 通过 Conda 安装\n\n1. 从[这里](https:\u002F\u002Fwww.anaconda.com\u002Fdistribution\u002F)安装 `Anaconda` 或 `Miniconda` 包管理器\n2. 创建新的虚拟环境并安装依赖包\n\n```bash\n$ conda create -n st python pandas tqdm\n$ conda activate st\n```\n\n使用 CUDA：\n\n```bash\n$ conda install pytorch>=1.6 cudatoolkit=11.0 -c pytorch\n```\n\n不使用 CUDA：\n\n```bash\n$ conda install pytorch cpuonly -c pytorch\n```\n\n3. 安装 `simpletransformers`\n\n```bash\n$ pip install simpletransformers\n```\n\n#### 可选步骤\n\n1. 安装 `Weights` 和 `Biases`（wandb）以通过浏览器跟踪和可视化训练过程\n\n```bash\n$ pip install wandb\n```\n\n## 使用方法\n\n**所有文档现已在 [simpletransformers.ai](https:\u002F\u002Fsimpletransformers.ai\u002F) 上线**\n\n`Simple Transformer` 模型针对特定自然语言处理（NLP）任务构建。每个模型都配备了专为执行特定任务而设计的功能和特性。使用 Simple Transformers 模型的高级流程遵循相同模式：\n\n1. 初始化任务专用模型\n2. 使用 `train_model()` 训练模型\n3. 使用 `eval_model()` 评估模型\n4. 使用 `predict()` 对（未标注）数据进行预测\n\n不过，不同模型之间存在必要差异以确保其适合预期任务。主要差异通常体现在输入\u002F输出数据格式和特定任务的功能\u002F配置选项上。这些内容在每个任务的文档部分均有详细说明。\n\n当前实现的任务专用 `Simple Transformer` 模型及其对应任务如下：\n\n| 任务                                                      | 模型                           |\n| --------------------------------------------------------- | ------------------------------- |\n| 二分类和多分类文本分类                                    | `ClassificationModel`           |\n| 对话式人工智能（聊天机器人训练）                          | `ConvAIModel`                   |\n| 语言生成                                                  | `LanguageGenerationModel`       |\n| 语言模型训练\u002F微调                                         | `LanguageModelingModel`         |\n| 多标签文本分类                                            | `MultiLabelClassificationModel` |\n| 多模态分类（文本和图像数据结合）                          | `MultiModalClassificationModel` |\n| 命名实体识别                                              | `NERModel`                      |\n| 问答系统                                                  | `QuestionAnsweringModel`        |\n| 回归任务                                                  | `ClassificationModel`           |\n| 文本对分类                                                | `ClassificationModel`           |\n| 文本表示生成                                              | `RepresentationModel`           |\n| 文档检索                                                  | `RetrievalModel`                |\n\n- **请参考[文档](https:\u002F\u002Fsimpletransformers.ai\u002F)中的相关章节了解如何使用这些模型**\n- 示例脚本可在 [examples](https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Ftree\u002Fmaster\u002Fexamples) 目录中找到\n- 项目最新变更请查看 [Changelog](https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fblob\u002Fmaster\u002FCHANGELOG.md)\n\n### 一个快速示例\n\n```python\nfrom simpletransformers.classification import ClassificationModel, ClassificationArgs\nimport pandas as pd\nimport logging\n\n\nlogging.basicConfig(level=logging.INFO)\ntransformers_logger = logging.getLogger(\"transformers\")\ntransformers_logger.setLevel(logging.WARNING)\n\n# 准备训练数据\ntrain_data = [\n    [\"Aragorn was the heir of Isildur\", 1],\n    [\"Frodo was the heir of Isildur\", 0],\n]\ntrain_df = pd.DataFrame(train_data)\ntrain_df.columns = [\"text\", \"labels\"]\n\n# 准备评估数据\neval_data = [\n    [\"Theoden was the king of Rohan\", 1],\n    [\"Merry was the king of Rohan\", 0],\n]\neval_df = pd.DataFrame(eval_data)\neval_df.columns = [\"text\", \"labels\"]\n\n# 可选模型配置\nmodel_args = ClassificationArgs(num_train_epochs=1)\n\n# 创建分类模型\nmodel = ClassificationModel(\n    \"roberta\", \"roberta-base\", args=model_args\n)\n\n# 训练模型\nmodel.train_model(train_df)\n\n# 评估模型\nresult, model_outputs, wrong_predictions = model.eval_model(eval_df)\n\n# 使用模型进行预测\npredictions, raw_outputs = model.predict([\"Sam was a Wizard\"])\n\n```\n\n### 使用 Weights and Biases（权重与偏差，简称 W&B）进行实验追踪\n\n- Weights and Biases 使得追踪所有实验变得非常简单。点击此处查看 Colab 示例：[![Open In Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](http:\u002F\u002Fwandb.me\u002Fsimpletformers-QA-colab)\n\n\n---\n\n## 当前预训练模型\n\n有关预训练模型列表，请参见 [Hugging Face 官方文档](https:\u002F\u002Fhuggingface.co\u002Fpytorch-transformers\u002Fpretrained_models.html)。\n\n每个任务可用的 `model_types（模型类型）` 可在各自的任务章节下找到。Hugging Face 文档中列出的任何该类型预训练模型都应可用。要使用这些模型，只需在 `args（参数）` 字典中设置正确的 `model_type` 和 `model_name`。\n\n---\n\n## 贡献者 ✨\n\n感谢以下这些出色的贡献者（[表情符号说明](https:\u002F\u002Fallcontributors.org\u002Fdocs\u002Fen\u002Femoji-key)）：\n\n\u003C!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->\n\u003C!-- prettier-ignore-start -->\n\u003C!-- markdownlint-disable -->\n\u003Ctable>\n  \u003Ctbody>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fhawktang\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_f8851831b2a6.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>hawktang\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=hawktang\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Fdatawizzards.io\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_7f8054f7f9fd.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Mabu Manaileng\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=mabu-dev\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fwww.facebook.com\u002Faliosm97\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_2e20b20a7f11.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Ali Hamdi Ali Fadel\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=AliOsm\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Ftovly.co\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_c4eb3ddc7649.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Tovly Deutsch\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=TovlyDeutsch\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fhlo-world\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_4ef0fa431953.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>hlo-world\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=hlo-world\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fhuntertl\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_d22a385d731e.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>huntertl\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=huntertl\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fwhattheshot.com\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_d8082aceeb4e.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Yann Defretin\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=kinoute\" title=\"代码 (Code)\">💻\u003C\u002Fa> \u003Ca href=\"#question-kinoute\" title=\"解答问题 (Answering Questions)\">💬\u003C\u002Fa> \u003Ca href=\"#ideas-kinoute\" title=\"创意、规划与反馈 (Ideas, Planning, & Feedback)\">🤔\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmananeau\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_72b69b187222.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Manuel \u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=mananeau\" title=\"文档 (Documentation)\">📖\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=mananeau\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Fjacobsgill.es\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_b422a05f9548.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Gilles Jacobs\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=GillesJ\" title=\"文档 (Documentation)\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fshasha79\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_b98a01251125.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>shasha79\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=shasha79\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Fwww-lium.univ-lemans.fr\u002F~garcia\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_1b0bcaa266dd.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Mercedes Garcia\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=merc85garcia\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fhammad26\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_d79c36355ef4.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Hammad Hassan Tarar\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=hammad26\" title=\"代码 (Code)\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=hammad26\" title=\"文档 (Documentation)\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ftodd-cook\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_b0b79952b45d.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Todd Cook\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=todd-cook\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Fknuthellan.com\u002F\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_524f2eebea9c.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Knut O. Hellan\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=khellan\" title=\"代码 (Code)\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=khellan\" title=\"文档 (Documentation)\">📖\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fnagenshukla\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_108826275a31.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>nagenshukla\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=nagenshukla\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fflaviussn\u002F\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_c01618e405d1.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>flaviussn\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=flaviussn\" title=\"代码 (Code)\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=flaviussn\" title=\"文档 (Documentation)\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Fmarctorrellas.github.com\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_fc9f2070f1b1.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Marc Torrellas\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"#maintenance-marctorrellas\" title=\"维护 (Maintenance)\">🚧\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fadrienrenaud\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_0212b98759ea.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Adrien Renaud\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=adrienrenaud\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fjacky18008\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_d0dbb11cf1a6.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>jacky18008\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=jacky18008\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fseo-95\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_4af3beaeb2f1.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Matteo Senese\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=seo-95\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FsarthakTUM\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_cd15b2c15a29.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>sarthakTUM\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=sarthakTUM\" title=\"文档 (Documentation)\">📖\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=sarthakTUM\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fdjstrong\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_367b7119aafc.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>djstrong\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=djstrong\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Fkozistr.tech\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_e8b266c10b6b.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Hyeongchan Kim\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=kozistr\" title=\"文档 (Documentation)\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FPradhy729\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_b1853e41f7c3.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Pradhy729\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=Pradhy729\" title=\"代码 (Code)\">💻\u003C\u002Fa> \u003Ca href=\"#maintenance-Pradhy729\" title=\"维护 (Maintenance)\">🚧\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fiknoorjobs.github.io\u002F\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_7fac1f2d1c36.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Iknoor Singh\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=iknoorjobs\" title=\"文档 (Documentation)\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fgaltay\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_b1c8733f1f6f.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Gabriel Altay\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=galtay\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fa-ware.io\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_a4b919c4c074.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>flozi00\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=flozi00\" title=\"文档 (Documentation)\">📖\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=flozi00\" title=\"代码 (Code)\">💻\u003C\u002Fa> \u003Ca href=\"#maintenance-flozi00\" title=\"维护 (Maintenance)\">🚧\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Falexysdussier\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_7cb5452f95e8.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>alexysdussier\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=alexysdussier\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fjqueguiner\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_3187e321aa0e.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Jean-Louis Queguiner\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=jqueguiner\" title=\"文档 (Documentation)\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Faced125\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_997f8b5a3e3e.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>aced125\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=aced125\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FLaksh1997\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_d16f39d4cf29.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Laksh1997\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=Laksh1997\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fchanglinz\u002F\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_8bcb3c585047.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Changlin_NLP\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=alexucb\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fjpotoniec\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_d8c86bd5b9d9.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>jpotoniec\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=jpotoniec\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ffcggamou\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_32c0b83031e3.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>fcggamou\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=fcggamou\" title=\"代码 (Code)\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=fcggamou\" title=\"文档 (Documentation)\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fguy-mor\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_11976eae88fc.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>guy-mor\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fissues?q=author%3Aguy-mor\" title=\"错误报告 (Bug reports)\">🐛\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=guy-mor\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fcahya-wirawan\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_5a6eacf72847.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Cahya Wirawan\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=cahya-wirawan\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FBjarkePedersen\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_88d3e107ecc2.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>BjarkePedersen\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=BjarkePedersen\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ftekkkon\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_4cd81005386e.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>tekkkon\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=tekkkon\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fgarg-amit\u002F\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_5da86625361f.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Amit Garg\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=Amit80007\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fcaprone\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_2876945df2e9.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>caprone\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fissues?q=author%3Acaprone\" title=\"错误报告 (Bug reports)\">🐛\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Father-fawaz-024596134\u002F\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_fafcd277d6f0.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Ather Fawaz\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=atherfawaz\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fsanti.uy\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_8e7aa72643be.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Santiago Castro\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=bryant1410\" title=\"文档 (Documentation)\">📖\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ftaranais\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_0fa7e7bf4aba.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>taranais\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=taranais\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Fpablomarino.me\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_11ecc8e67dcd.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Pablo N. Marino\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=pablonm3\" title=\"代码 (Code)\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=pablonm3\" title=\"文档 (Documentation)\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Flinkedin.com\u002Fin\u002Fstrawberrypie\u002F\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_381d86bc6b12.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Anton Kiselev\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=strawberrypie\" title=\"代码 (Code)\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=strawberrypie\" title=\"文档 (Documentation)\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FSxela\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_fd9e7e4f4943.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Alex\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=Sxela\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fkarthik19967829\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_3f2c176a52c9.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Karthik Ganesan\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=karthik19967829\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fwww.facebook.com\u002Fprofile.php?id=100009572680557\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_70d19df617d9.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Zhylko Dima\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=Zhylkaaa\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fjonatanklosko.com\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_ab190b1defde.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Jonatan Kłosko\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=jonatanklosko\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fsarapapi\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_90b895b48fb7.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>sarapapi\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=sarapapi\" title=\"代码 (Code)\">💻\u003C\u002Fa> \u003Ca href=\"#question-sarapapi\" title=\"解答问题 (Answering Questions)\">💬\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fab-cse.web.app\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_7e7566e869c0.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Abdul\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=macabdul9\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fjamesmilliman\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_81d7591f6e86.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>James Milliman\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=jamesmilliman\" title=\"文档 (Documentation)\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fparmarsuraj99.github.io\u002Fsuraj-parmar\u002F\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_deb64c737acf.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Suraj Parmar\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=parmarsuraj99\" title=\"文档 (Documentation)\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fvelog.io\u002F@kwanhong66\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_dec496935443.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>KwanHong Lee\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"#question-kwanhong66\" title=\"解答问题 (Answering Questions)\">💬\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Fjulielab.de\u002FStaff\u002FErik+F%C3%A4%C3%9Fler.html\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_1751151af21d.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Erik Fäßler\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=khituras\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fohstopityou\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_daf9e0d9632f.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Thomas Søvik\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"#question-ohstopityou\" title=\"解答问题 (Answering Questions)\">💬\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fgaganmanku96\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_eac970e607d6.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Gagandeep Singh\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=gaganmanku96\" title=\"代码 (Code)\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=gaganmanku96\" title=\"文档 (Documentation)\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"http:\u002F\u002Fwww.esuli.it\u002F\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_cba555742214.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Andrea Esuli\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=aesuli\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FDM2493\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_91d1e44335dd.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>DM2493\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=DM2493\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fmapmeld.com\u002Fml\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_1cfa52754eb8.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Nick Doiron\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=mapmeld\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fabhinavg97\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_0684606c9f4c.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Abhinav Gupta\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=abhinavg97\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fmartinnormark.com\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_812d592119a3.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Martin H. Normark\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=martinnormark\" title=\"文档 (Documentation)\">📖\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmossadhelali\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_e08cbe937037.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Mossad Helali\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fcommits?author=mossadhelali\" title=\"代码 (Code)\">💻\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n      \u003Ctd align=\"center\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fcalebchiam\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_readme_8d923153b4d0.png\" width=\"100px;\" alt=\"\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>calebchiam\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FThilinaRajap\n\n\u003C!-- markdownlint-restore -->\n\u003C!-- prettier-ignore-end -->\n\n\u003C!-- ALL-CONTRIBUTORS-LIST:END -->\n\n本项目遵循 [all-contributors](https:\u002F\u002Fgithub.com\u002Fall-contributors\u002Fall-contributors) 贡献者规范，欢迎任何形式的贡献！\n\n*如果您应该出现在贡献者列表中但未出现，或您希望从列表中移除，请随时联系我！*\n\n---\n\n## 如何贡献\n\n### 如何更新文档\n\n最新版本的文档托管在 [Github Pages](https:\u002F\u002Fsimpletransformers.ai\u002F) 上，如果您希望帮助完善 Simple Transformers 的文档，请按照以下步骤操作：\n文档使用 [Jekyll（静态网站生成器）](https:\u002F\u002Fjekyllrb.com\u002F) 构建，详细工作原理请参考其官方文档。\n\n1) **安装 [Jekyll（静态网站生成器）](https:\u002F\u002Fjekyllrb.com\u002F)**: 运行命令 `gem install bundler jekyll`\n2) **在本地计算机预览文档**:\n   在终端中进入本仓库的 docs 目录，例如：`cd simpletransformers\u002Fdocs`\n   在 docs 目录下运行以下命令本地启动 Jekyll 服务：`bundle exec jekyll serve`\n   浏览器访问 http:\u002F\u002Flocalhost:4000 或控制台显示的任意 URL 即可预览文档。\n3) **编辑并预览更改**:\n   所有文档章节页面位于 `docs\u002F_docs` 目录下，您可以按照 Markdown 格式编辑任意文件，刷新浏览器标签页即可查看更改效果。\n\n---\n\n## 致谢\n\n没有 HuggingFace 团队开发的 [Transformers（自然语言处理库）](https:\u002F\u002Fgithub.com\u002Fhuggingface\u002Ftransformers) 库，这一切都不可能实现。\n\n_`\u003Cdiv>`社交媒体预览图标由 `\u003Ca href=\"https:\u002F\u002Fwww.flaticon.com\u002Fauthors\u002Ffreepik\" title=\"Freepik\">`Freepik`\u003C\u002Fa>` 在 `\u003Ca href=\"https:\u002F\u002Fwww.flaticon.com\u002F\" title=\"Flaticon\">`www.flaticon.com`\u003C\u002Fa> 制作\u003C\u002Fdiv>`_","# Simple Transformers 快速上手指南\n\n## 环境准备\n**系统要求：**\n- Python 3.6+\n- 支持 CUDA 11.0 的显卡（可选）\n- pandas、tqdm 库\n\n**前置依赖：**\n1. 安装 [Anaconda\u002FMiniconda](https:\u002F\u002Fmirrors.tuna.tsinghua.edu.cn\u002Fanaconda\u002Fminiconda\u002F)（推荐使用清华镜像加速）\n2. 创建虚拟环境：\n```bash\nconda create -n st python pandas tqdm\nconda activate st\n```\n\n## 安装步骤\n**安装 PyTorch（推荐使用清华源加速）：**\n- CUDA 版本：\n```bash\nconda install pytorch>=1.6 cudatoolkit=11.0 -c pytorch -c https:\u002F\u002Fmirrors.tuna.tsinghua.edu.cn\u002Fanaconda\u002Fcloud\u002Fpytorch\n```\n- CPU 版本：\n```bash\nconda install pytorch cpuonly -c pytorch -c https:\u002F\u002Fmirrors.tuna.tsinghua.edu.cn\u002Fanaconda\u002Fcloud\u002Fpytorch\n```\n\n**安装 Simple Transformers：**\n```bash\npip install simpletransformers -i https:\u002F\u002Fpypi.tuna.tsinghua.edu.cn\u002Fsimple\n```\n\n**可选：安装 WandB（实验追踪）：**\n```bash\npip install wandb -i https:\u002F\u002Fpypi.tuna.tsinghua.edu.cn\u002Fsimple\n```\n\n## 基本使用\n**文本分类示例：**\n```python\nfrom simpletransformers.classification import ClassificationModel, ClassificationArgs\nimport pandas as pd\nimport logging\n\n# 配置日志\nlogging.basicConfig(level=logging.INFO)\ntransformers_logger = logging.getLogger(\"transformers\")\ntransformers_logger.setLevel(logging.WARNING)\n\n# 准备训练数据\ntrain_data = [[\"Aragorn was the heir of Isildur\", 1], [\"Frodo was the heir of Isildur\", 0]]\ntrain_df = pd.DataFrame(train_data, columns=[\"text\", \"labels\"])\n\n# 准备评估数据\neval_data = [[\"Theoden was the king of Rohan\", 1], [\"Merry was the king of Rohan\", 0]]\neval_df = pd.DataFrame(eval_data, columns=[\"text\", \"labels\"])\n\n# 配置模型参数\nmodel_args = ClassificationArgs(num_train_epochs=1)\n\n# 初始化模型（使用 roberta-base）\nmodel = ClassificationModel(\"roberta\", \"roberta-base\", args=model_args)\n\n# 训练模型\nmodel.train_model(train_df)\n\n# 评估模型\nresult, model_outputs, wrong_predictions = model.eval_model(eval_df)\n\n# 预测新数据\npredictions, raw_outputs = model.predict([\"Sam was a Wizard\"])\n```\n\n**注意事项：**\n1. 国内用户可通过设置 `-i https:\u002F\u002Fpypi.tuna.tsinghua.edu.cn\u002Fsimple` 使用清华镜像加速 pip 安装\n2. 模型训练时会自动下载预训练模型（如 roberta-base），建议在网络环境稳定的环境下运行\n3. 可通过修改 `ClassificationArgs` 配置调整训练参数（如 batch_size、learning_rate 等）","某电商平台需要快速构建一个高精度的评论情感分析系统，以实时识别用户评论中的负面情绪并触发客服干预。开发团队尝试使用传统方法构建模型，但面临效率瓶颈。\n\n### 没有 simpletransformers 时\n- 数据预处理需要手动编写文本清洗、分词和标签映射代码，5000行评论处理耗时3小时\n- 使用PyTorch从头实现BERT分类模型需编写150+行代码，包含复杂的数据加载器和训练循环\n- 模型训练时需手动调整学习率、batch size等参数，单次训练耗时8小时且准确率仅72%\n- 评估阶段需单独实现混淆矩阵和F1值计算，不同实验结果难以统一比较\n- 部署时需要额外开发模型序列化和API封装代码，增加2周开发周期\n\n### 使用 simpletransformers 后\n- 内置TextClassificationModel自动处理文本清洗和tokenization，5000条评论预处理缩短至15分钟\n- 3行代码完成模型初始化和训练：\n```python\nmodel = TextClassificationModel(\"bert\", \"bert-base-uncased\")\nmodel.train_model(train_df)\nresult, model_output = model.eval_model(eval_df)\n```\n- 预训练模型+自动超参数优化使训练时间降至2小时，准确率提升至89%\n- 内置支持F1、AUC等10+评估指标，实验结果自动记录到WandB可视化面板\n- 提供predict()方法直接输出概率分布，模型导出为ONNX格式后可直接部署到生产环境\n\nsimpletransformers 通过标准化接口和开箱即用的预训练模型，将NLP模型开发周期从数周缩短至数天，使团队能聚焦业务逻辑而非底层实现细节。","https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FThilinaRajapakse_simpletransformers_57ce5459.png","ThilinaRajapakse","Thilina Rajapakse","https:\u002F\u002Foss.gittoolsai.com\u002Favatars\u002FThilinaRajapakse_ba2fd9fd.jpg","AI researcher, serial procrastinator, avid reader, fantasy and Sci-Fi geek, and fan of the Oxford comma.","University of Amsterdam","The Netherlands","chaturangarajapakshe@gmail.com","t_rajapakse","https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Ft-rajapakse\u002F","https:\u002F\u002Fgithub.com\u002FThilinaRajapakse",[87,91,95],{"name":88,"color":89,"percentage":90},"Python","#3572A5",99.9,{"name":92,"color":93,"percentage":94},"Makefile","#427819",0.1,{"name":96,"color":97,"percentage":98},"Shell","#89e051",0,4238,719,"2026-04-04T23:07:50","Apache-2.0","未说明","需要 NVIDIA GPU，显存 8GB+，CUDA 11.0+",{"notes":106,"python":107,"dependencies":108},"建议使用 conda 管理环境，首次运行需下载预训练模型文件","3.8+",[109,110,111,112,113],"torch>=1.6","transformers","pandas","tqdm","wandb",[15],[110,116,117,118,119,120],"text-classification","named-entity-recognition","question-answering","conversational-ai","information-retrival",null,"2026-03-27T02:49:30.150509","2026-04-06T05:37:24.950388",[125,130,135,140,144,148],{"id":126,"question_zh":127,"answer_zh":128,"source_url":129},5004,"多标签分类模型预测结果全为0该如何解决？","需检查模型保存和加载方式是否正确。加载时需确保参数与训练时完全一致，并使用`model.predict()`前确认输入格式是否符合要求。参考代码：\n```python\nmodel = MultiLabelClassificationModel('bert', 'outputs', num_labels=50, args={'train_batch_size':2, 'gradient_accumulation_steps':16, 'learning_rate': 3e-5, 'num_train_epochs': 1, 'max_seq_length': 512, 'fp16': False})\n```","https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fissues\u002F234",{"id":131,"question_zh":132,"answer_zh":133,"source_url":134},5005,"出现ValueError: too many dimensions 'str'错误如何修复？","需将数据框的标签列名从`labels`改为`label`。示例代码：\n```python\ntrain_df = pd.read_csv('train.csv', header=None)\ntrain_df = train_df.drop(index=0)\nmodel = ClassificationModel('roberta', 'roberta-base')\nmodel.train_model(train_df)  # 确保标签列名为'label'\n```","https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fissues\u002F229",{"id":136,"question_zh":137,"answer_zh":138,"source_url":139},5006,"加载模型时报EOF文件损坏错误怎么办？","可能是模型文件下载不完整，尝试重新下载或检查文件完整性。若使用自定义路径，确保模型权重文件未被损坏。示例处理SQuAD数据格式代码：\n```python\nwith open('data\u002Ftrain-v2.0.json', 'r') as f:\n    eval_data = json.load(f)\neval_data = [item for topic in eval_data['data'] for item in topic['paragraphs']]\nmodel.eval_model(eval_data)\n```","https:\u002F\u002Fgithub.com\u002FThilinaRajapakse\u002Fsimpletransformers\u002Fissues\u002F74",{"id":141,"question_zh":142,"answer_zh":143,"source_url":129},5007,"如何为多标签模型设置自定义学习率参数？","可通过`custom_parameter_groups`指定参数组学习率。示例代码：\n```python\nmodel_args.custom_parameter_groups = [\n    {\n        \"params\": [\"classifier.dense.weight\", \"classifier.dense.bias\", \"classifier.out_proj.weight\", \"classifier.out_proj.bias\"],\n        \"lr\": 1e-3,\n    }\n]\n```",{"id":145,"question_zh":146,"answer_zh":147,"source_url":129},5008,"如何获取MultiLabelClassificationModel的隐藏层状态？","可通过修改模型输出配置实现。参考代码：\n```python\n# 获取分类token的最后隐藏层状态\noutputs = model.predict([\"示例文本\"])\nhidden_state = outputs[1]  # 经过线性层和tanh激活后的结果\n```",{"id":149,"question_zh":150,"answer_zh":151,"source_url":139},5009,"SQuAD数据评估时出现list index out of range错误？","需确保评估数据格式正确，答案字段不应为空列表。处理示例：\n```python\n# 确保每个样本的answers字段包含有效文本\ntruth_dict[answer['id']] = answer['answers'][0]['text'] if answer['answers'] else \"\"\n```",[153,158,163,168,173,178,183,188,193,198,203,208,213,218,223,228,233,238,243,248],{"id":154,"version":155,"summary_zh":156,"released_at":157},104522,"v0.60.0","# New Classification Models\r\n\r\n## Added\r\n\r\n- Added class weights support for Longformer classification\r\n- Added new classification models (multilabel classification is not supported yet):\r\n  - DeBERTa\r\n  - MPNet\r\n  - SqueezeBert (no sliding window support)\r\n\r\n## Changed\r\n\r\n- Updated ClassificationModel logic to make it easier to add new models\r\n","2021-02-01T20:38:58",{"id":159,"version":160,"summary_zh":161,"released_at":162},104523,"v0.51.0","# MT5, Adafactor optimizer, additional schedulers\r\n\r\n## Breaking change\r\n\r\n- `T5Model` now has a required `model_type` parameter (`\"t5\"` or `\"mt5\"`)\r\n\r\n### Added\r\n\r\n- Added support for MT5\r\n- Added support for Adafactor optimizer\r\n- Added support for various schedulers:\r\n  - get_constant_schedule\r\n  - get_constant_schedule_with_warmup\r\n  - get_linear_schedule_with_warmup\r\n  - get_cosine_schedule_with_warmup\r\n  - get_cosine_with_hard_restarts_schedule_with_warmup\r\n  - get_polynomial_decay_schedule_with_warmup\r\n\r\n### Changed\r\n\r\n- `T5Model` now has a required `model_type` parameter (`\"t5\"` or `\"mt5\"`)\r\n\r\n### Fixed\r\n\r\n- Fixed issue with class weights not working in `ClassificationModel` when using mult-GPU training","2020-12-05T15:36:40",{"id":164,"version":165,"summary_zh":166,"released_at":167},104524,"v0.49.0","### Added\r\n\r\n- Added LayoutLM for Classification.\r\n- Added MBart. [Zhylkaaa](https:\u002F\u002Fgithub.com\u002FZhylkaaa)\r\n- Added BERTweet for NER. [@manueltonneau](https:\u002F\u002Fgithub.com\u002Fmanueltonneau)\r\n- Added Longformer for Multilabel Classification. [@manueltonneau](https:\u002F\u002Fgithub.com\u002Fmanueltonneau)\r\n\r\n### Fixed\r\n\r\n- Fixed issue with `Seq2SeqModel` when the `model_name` contained backslashes.\r\n- Fixed issue with saving args when a `dataset_class` is specified in `Seq2SeqModel`.\r\n\r\n### Changed\r\n\r\n- The Electra implementation used with `ClassificationModel` is now fully compatible with Hugging Face.","2020-11-09T13:38:17",{"id":169,"version":170,"summary_zh":171,"released_at":172},104525,"v0.48.6","### Added\r\n\r\n- Added `layoutlm` model for NER (see [docs](https:\u002F\u002Fsimpletransformers.ai\u002Fdocs\u002Fner-data-formats\u002F#data-format-for-layoutlm-models))\r\n\r\n### Fixed\r\n\r\n- Potential fix for inconsistent `eval_loss` calculation","2020-09-26T08:23:05",{"id":174,"version":175,"summary_zh":176,"released_at":177},104526,"v0.48.5","## Mixed Precision Support for evaluation and prediction\r\n\r\nMixed precision (fp16) inference is now supported for evaluation and prediction in the following models:\r\n\r\n  - ClassificationModel\r\n  - ConvAI\r\n  - MultiModalClassificationModel\r\n  - NERModel\r\n  - QuestionAnsweringModel\r\n  - Seq2Seq\r\n  - T5Model\r\n\r\n*You can disable fp16 by setting `fp16 = False` in the `model_args`.*\r\n\r\n## Multi-GPU support for evaluation and prediction\r\n\r\nSet the number of GPUs with `n_gpu`. in `model_args` Currently supported in the following models:\r\n\r\n  - ClassificationModel\r\n  - ConvAI\r\n  - MultiModalClassificationModel\r\n  - NERModel\r\n  - QuestionAnsweringModel\r\n  - Seq2Seq\r\n  - T5Model\r\n\r\n## Native ONNX support for Classification and NER tasks (Beta)\r\n\r\nPlease note that ONNX support is still experimental.\r\n\r\nSee [docs](https:\u002F\u002Fsimpletransformers.ai\u002Fdocs\u002Ftips-and-tricks\u002F#onnx-support-beta) for details.","2020-09-24T09:52:26",{"id":179,"version":180,"summary_zh":181,"released_at":182},104527,"v0.48.0","### Added\r\n\r\n- Added dynamic quantization support for all models.\r\n- Added ConvAI docs to documentation website. [@pablonm3](https:\u002F\u002Fgithub.com\u002Fpablonm3)\r\n","2020-09-06T16:18:37",{"id":184,"version":185,"summary_zh":186,"released_at":187},104528,"v0.47.0","### Added\r\n\r\n- Added support for testing models through a Streamlit app. Use the command `simple-viewer\". Currently supports:\r\n  - Classification (including multilabel)\r\n  - NER (design inspired by [displaCy Named Entity Visualizer](https:\u002F\u002Fexplosion.ai\u002Fdemos\u002Fdisplacy-ent))\r\n  - QA\r\n\r\nSee [docs](https:\u002F\u002Fsimpletransformers.ai\u002Fdocs\u002Ftips-and-tricks\u002F#simple-viewer-visualizing-model-predictions-with-streamlit) for details.","2020-08-09T19:40:39",{"id":189,"version":190,"summary_zh":191,"released_at":192},104529,"v0.45.2","### Added\r\n\r\n- Added `dataloader_num_workers` to `ModelArgs` for specifying the number of processes to be used with a Pytorch dataloader.\r\n\r\n### Changed\r\n\r\n- Bumped required `transformers` version to 3.0.2","2020-07-24T19:46:40",{"id":194,"version":195,"summary_zh":196,"released_at":197},104530,"v0.45.0","### Added\r\n\r\n- Added Text Representation Generation (`RepresentationModel`). [@pablonm3](https:\u002F\u002Fgithub.com\u002Fpablonm3)","2020-07-18T19:43:50",{"id":199,"version":200,"summary_zh":201,"released_at":202},104531,"v0.44.0","### Added\r\n\r\n- Lazy loading support added for `QuestionAnsweringModel`.","2020-07-18T19:41:56",{"id":204,"version":205,"summary_zh":206,"released_at":207},104532,"v0.43.6","### Fixed\r\n\r\n- Bug fixed in `Seq2Seq` tasks.\r\n- Bug fixed in `NERModel` where the classification report was missing in checkpoints.\r\n- Bug fixed in ELECTRA.\r\n- Bug fixed in `Seq2Seq` generic encoder-decoder model.\r\n- Bug fixed in `Seq2Seq` tasks.\r\n- Bug fixed in regression prediction.\r\n- Bug fixed in loading multiclass classification models when `num_labels` aren't specified.","2020-07-18T19:41:25",{"id":209,"version":210,"summary_zh":211,"released_at":212},104533,"v0.43.0","### Added\r\n\r\n- Added support for custom parameter groups. [docs](https:\u002F\u002Fsimpletransformers.ai\u002Fdocs\u002Fusage\u002F#custom-parameter-groups-freezing-layers)\r\n\r\n### Fixed\r\n\r\n- ELECTRA pretraining no longer replaces 10% of masked inputs with random tokens. [@dev-sngwn](https:\u002F\u002Fgithub.com\u002Fdev-sngwn)","2020-07-05T22:15:15",{"id":214,"version":215,"summary_zh":216,"released_at":217},104534,"v0.42.0","### Added\r\n\r\n- Added better support for Chinese text in Language Modeling. [@taranais](https:\u002F\u002Fgithub.com\u002Ftaranais)\r\n- Added `mobilebert` for classification, NER, QA, and Seq2Seq. [@flozi00](https:\u002F\u002Fgithub.com\u002Fflozi00)\r\n\r\n### Fixed\r\n\r\n- Fixed incorrect logic when using `early_stopping_metric_minimize`. [@djstrong](https:\u002F\u002Fgithub.com\u002Fdjstrong)\r\n- Fixed issue with cache directory being created even when `no_cache` is set. [@henninglebbaeus](https:\u002F\u002Fgithub.com\u002Fhenninglebbaeus)\r\n\r\n### Changed\r\n\r\n- Running loss is now shown next to the tqdm bar (with the tqdm bar description)\r\n- Removed tokenizers and transformers version pins (added earlier to avoid compatibility issues)","2020-07-05T22:00:06",{"id":219,"version":220,"summary_zh":221,"released_at":222},104535,"v0.40.2","### Added\r\n\r\n- Added `interact_single()` method to `ConvAIModel`. This accepts a message and conversation history (and an optional personality). [@Amit80007](https:\u002F\u002Fgithub.com\u002FAmit80007)\r\n\r\n### Fixed\r\n\r\n- Fixed bug in multi modal classification [@tekkon](https:\u002F\u002Fgithub.com\u002Ftekkkon)\r\n- Fixed bug in Multi-Modal classification when using `evaluate_during_training`.\r\n\r\n### Changed\r\n\r\n- Cleaned `language_modeling_utils.py`. [@Pradhy729](https:\u002F\u002Fgithub.com\u002FPradhy729)","2020-06-25T18:32:52",{"id":224,"version":225,"summary_zh":226,"released_at":227},104536,"v0.40.0","### Added\r\n\r\n - All Simple Transformers models can now be used with W&B sweeps. ([docs](https:\u002F\u002Fsimpletransformers.ai\u002Fdocs\u002Fusage\u002F#hyperparameter-optimization))\r\n - `eval_model()` now logs to wandb in the following models (can be turned off with `wandb_log=False`)\r\n   - `ClassificationModel`\r\n   - `NERModel`\r\n - Model args can now be specified through the relevant dataclass. (E.g. `ClassificationArgs`, `T5Args`, etc.) ([docs](https:\u002F\u002Fsimpletransformers.ai\u002Fdocs\u002Fusage\u002F#configuring-a-simple-transformers-model))\r\n - All model args are now saved and loaded automatically with Simple Transformers models.\r\n - Multiprocessed decoding support added to Seq2Seq models\r\n - Custom label support for Classification tasks (except multilabel). ([docs](https:\u002F\u002Fsimpletransformers.ai\u002Fdocs\u002Fclassification-specifics\u002F#custom-labels))\r\n - NER labels can be given as `NERArgs.labels_list` (persists through args saving)\r\n\r\n### Changed\r\n\r\n- Changed `NERModel.eval_model()` to return usable model_outputs\r\n- Improved `tqdm` descriptions in progress bars\r\n- ConvAIModel arg `no_sample` renamed to `do_sample` for consistency","2020-06-23T14:57:04",{"id":229,"version":230,"summary_zh":231,"released_at":232},104537,"v0.32.3","### Fixed\r\n\r\n- Fixed compatibility issues with breaking changes in transformers==2.11.0. [@fcggamou](https:\u002F\u002Fgithub.com\u002Ffcggamou)","2020-06-04T10:52:39",{"id":234,"version":235,"summary_zh":236,"released_at":237},104538,"v0.32.0","### Added\r\n\r\n- Added Lazy Loading support for classification tasks (except multi-label). ([Docs](https:\u002F\u002Fsimpletransformers.ai\u002Fdocs\u002Fclassification-specifics\u002F#lazy-loading-data))","2020-05-31T20:52:47",{"id":239,"version":240,"summary_zh":241,"released_at":242},104539,"v0.31.0","### Added\r\n\r\n- Added Longformer model support for Language Modeling.","2020-05-30T18:10:09",{"id":244,"version":245,"summary_zh":246,"released_at":247},104540,"v0.30.0","### Added\r\n\r\n- Added XLM-RoBERTa support for question answering tasks.\r\n- Added `save_optimizer_and_scheduler` (default 1) to `global_args` which controls whether optimizer and scheduler is saved along with the model. Disabling significantly reduces the disk space used by saved models. \r\n\r\n### Fixed\r\n\r\n- Bug in XLM tokenizer when preprocessing QA datasets.\r\n- `QuestionAnsweringModel.predict(n_best_size=n)` now correctly returns `n` answers per question (along with `n` probabilities).\r\n\r\n## BREAKING CHANGE\r\n\r\n- `QuestionAnsweringModel.predict()` now returns two lists (a list of dicts with question ids mapped to answers and a list of dicts with question ids mapped to the answer probabilities). @alexucb ","2020-05-26T19:20:29",{"id":249,"version":250,"summary_zh":251,"released_at":252},104541,"0.29.0","### Fixed\r\n\r\n- Fixed issues with training ELECTRA language models from scratch. [@aced125](https:\u002F\u002Fgithub.com\u002Faced125) [@Laksh1997](https:\u002F\u002Fgithub.com\u002FLaksh1997)\r\n- Fixed bug in save_discriminator() method.\r\n\r\n### Changed\r\n\r\n- The parallel process count is now limited to 61 by default on Windows systems. [@leungi](https:\u002F\u002Fgithub.com\u002Fleungi)","2020-05-24T17:38:58"]