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	<meta charset="utf-8" /><meta name="hf:doc:metadata" content="{"title":"社区","local":"社区","sections":[{"title":"社区资源","local":"社区资源","sections":[],"depth":2},{"title":"社区笔记本","local":"社区笔记本","sections":[],"depth":2}],"depth":1}">
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	<link rel="modulepreload" href="/docs/transformers/pr_28250/zh/_app/immutable/chunks/EditOnGithub.ba269039.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"社区","local":"社区","sections":[{"title":"社区资源","local":"社区资源","sections":[],"depth":2},{"title":"社区笔记本","local":"社区笔记本","sections":[],"depth":2}],"depth":1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <h1 class="relative group"><a id="社区" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#社区"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>社区</span></h1> <p data-svelte-h="svelte-1yiu47i">这个页面汇集了社区开发的🤗Transformers相关的资源。</p> <h2 class="relative group"><a id="社区资源" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#社区资源"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>社区资源</span></h2> <table data-svelte-h="svelte-c7glgo"><thead><tr><th align="left">资源</th> <th align="left">描述</th> <th align="right">作者</th></tr></thead> <tbody><tr><td align="left"><a href="https://www.darigovresearch.com/huggingface-transformers-glossary-flashcards" rel="nofollow">Hugging Face Transformers Glossary Flashcards</a></td> <td align="left">这是一套基于 <a href="glossary">Transformers文档术语表</a> 的抽认卡，它们已被整理成可以通过 <a href="https://apps.ankiweb.net/" rel="nofollow">Anki</a> （一款专为长期知识保留而设计的开源、跨平台的应用）来进行学习和复习的形式。使用方法参见： <a href="https://www.youtube.com/watch?v=Dji_h7PILrw" rel="nofollow">介绍如何使用抽认卡的视频</a>。</td> <td align="right"><a href="https://www.darigovresearch.com/" rel="nofollow">Darigov Research</a></td></tr></tbody></table> <h2 class="relative group"><a id="社区笔记本" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#社区笔记本"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>社区笔记本</span></h2> <table data-svelte-h="svelte-15bnu9t"><thead><tr><th align="left">笔记本</th> <th align="left">描述</th> <th align="left">作者</th> <th align="right"></th></tr></thead> <tbody><tr><td align="left"><a href="https://github.com/AlekseyKorshuk/huggingartists" rel="nofollow">Fine-tune a pre-trained Transformer to generate lyrics</a></td> <td align="left">如何通过微调GPT-2模型来生成你最喜欢的艺术家风格的歌词</td> <td align="left"><a href="https://github.com/AlekseyKorshuk" rel="nofollow">Aleksey Korshuk</a></td> <td align="right"><a href="https://colab.research.google.com/github/AlekseyKorshuk/huggingartists/blob/master/huggingartists-demo.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/snapthat/TF-T5-text-to-text" rel="nofollow">Train T5 in Tensorflow 2</a></td> <td align="left">如何使用 Tensorflow 2 训练 T5 可以完成任何任务。本笔记本演示了如何使用 SQUAD 在 Tensorflow 2 中实现问答任务</td> <td align="left"><a href="https://github.com/HarrisDePerceptron" rel="nofollow">Muhammad Harris</a></td> <td align="right"><a href="https://colab.research.google.com/github/snapthat/TF-T5-text-to-text/blob/master/snapthatT5/notebooks/TF-T5-Datasets%20Training.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/patil-suraj/exploring-T5/blob/master/T5_on_TPU.ipynb" rel="nofollow">Train T5 on TPU</a></td> <td align="left">如何使用 Transformers 和 Nlp 在 SQUAD 上训练 T5</td> <td align="left"><a href="https://github.com/patil-suraj" rel="nofollow">Suraj Patil</a></td> <td align="right"><a href="https://colab.research.google.com/github/patil-suraj/exploring-T5/blob/master/T5_on_TPU.ipynb#scrollTo=QLGiFCDqvuil" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/patil-suraj/exploring-T5/blob/master/t5_fine_tuning.ipynb" rel="nofollow">Fine-tune T5 for Classification and Multiple Choice</a></td> <td align="left">如何使用 PyTorch Lightning 的text-to-text格式对 T5 进行微调以完成分类和多项选择任务</td> <td align="left"><a href="https://github.com/patil-suraj" rel="nofollow">Suraj Patil</a></td> <td align="right"><a href="https://colab.research.google.com/github/patil-suraj/exploring-T5/blob/master/t5_fine_tuning.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/ncoop57/i-am-a-nerd/blob/master/_notebooks/2020-05-12-chatbot-part-1.ipynb" rel="nofollow">Fine-tune DialoGPT on New Datasets and Languages</a></td> <td align="left">如何在新数据集上微调 DialoGPT 模型，以实现开放式对话聊天机器人</td> <td align="left"><a href="https://github.com/ncoop57" rel="nofollow">Nathan Cooper</a></td> <td align="right"><a href="https://colab.research.google.com/github/ncoop57/i-am-a-nerd/blob/master/_notebooks/2020-05-12-chatbot-part-1.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/patrickvonplaten/notebooks/blob/master/PyTorch_Reformer.ipynb" rel="nofollow">Long Sequence Modeling with Reformer</a></td> <td align="left">如何使用 Reformer 对长达 500,000 个 token 的序列进行训练</td> <td align="left"><a href="https://github.com/patrickvonplaten" rel="nofollow">Patrick von Platen</a></td> <td align="right"><a href="https://colab.research.google.com/github/patrickvonplaten/notebooks/blob/master/PyTorch_Reformer.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/ohmeow/ohmeow_website/blob/master/posts/2021-05-25-mbart-sequence-classification-with-blurr.ipynb" rel="nofollow">Fine-tune BART for Summarization</a></td> <td align="left">如何使用 blurr 对 BART 进行微调，以便使用 fastai 进行汇总</td> <td align="left"><a href="https://ohmeow.com/" rel="nofollow">Wayde Gilliam</a></td> <td align="right"><a href="https://colab.research.google.com/github/ohmeow/ohmeow_website/blob/master/posts/2021-05-25-mbart-sequence-classification-with-blurr.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb" rel="nofollow">Fine-tune a pre-trained Transformer on anyone’s tweets</a></td> <td align="left">如何通过微调 GPT-2 模型生成以你最喜欢的 Twitter 帐户风格发布的推文</td> <td align="left"><a href="https://github.com/borisdayma" rel="nofollow">Boris Dayma</a></td> <td align="right"><a href="https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://colab.research.google.com/github/wandb/examples/blob/master/colabs/huggingface/Optimize_Hugging_Face_models_with_Weights_%26_Biases.ipynb" rel="nofollow">Optimize 🤗 Hugging Face models with Weights & Biases</a></td> <td align="left">展示 W&B 与 Hugging Face 集成的完整教程</td> <td align="left"><a href="https://github.com/borisdayma" rel="nofollow">Boris Dayma</a></td> <td align="right"><a href="https://colab.research.google.com/github/wandb/examples/blob/master/colabs/huggingface/Optimize_Hugging_Face_models_with_Weights_%26_Biases.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/allenai/longformer/blob/master/scripts/convert_model_to_long.ipynb" rel="nofollow">Pretrain Longformer</a></td> <td align="left">如何构建现有预训练模型的“长”版本</td> <td align="left"><a href="https://beltagy.net" rel="nofollow">Iz Beltagy</a></td> <td align="right"><a href="https://colab.research.google.com/github/allenai/longformer/blob/master/scripts/convert_model_to_long.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/patil-suraj/Notebooks/blob/master/longformer_qa_training.ipynb" rel="nofollow">Fine-tune Longformer for QA</a></td> <td align="left">如何针对问答任务微调长模型</td> <td align="left"><a href="https://github.com/patil-suraj" rel="nofollow">Suraj Patil</a></td> <td align="right"><a href="https://colab.research.google.com/github/patil-suraj/Notebooks/blob/master/longformer_qa_training.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/patrickvonplaten/notebooks/blob/master/How_to_evaluate_Longformer_on_TriviaQA_using_NLP.ipynb" rel="nofollow">Evaluate Model with 🤗nlp</a></td> <td align="left">如何使用<code>nlp</code>库在TriviaQA数据集上评估Longformer模型</td> <td align="left"><a href="https://github.com/patrickvonplaten" rel="nofollow">Patrick von Platen</a></td> <td align="right"><a href="https://colab.research.google.com/drive/1m7eTGlPmLRgoPkkA7rkhQdZ9ydpmsdLE?usp=sharing" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/enzoampil/t5-intro/blob/master/t5_qa_training_pytorch_span_extraction.ipynb" rel="nofollow">Fine-tune T5 for Sentiment Span Extraction</a></td> <td align="left">如何使用PyTorch Lightning以text-to-text的格式对T5进行微调，以进行情感跨度提取</td> <td align="left"><a href="https://github.com/enzoampil" rel="nofollow">Lorenzo Ampil</a></td> <td align="right"><a href="https://colab.research.google.com/github/enzoampil/t5-intro/blob/master/t5_qa_training_pytorch_span_extraction.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/abhimishra91/transformers-tutorials/blob/master/transformers_multiclass_classification.ipynb" rel="nofollow">Fine-tune DistilBert for Multiclass Classification</a></td> <td align="left">如何使用 PyTorch 微调 DistilBert 进行多类分类</td> <td align="left"><a href="https://github.com/abhimishra91" rel="nofollow">Abhishek Kumar Mishra</a></td> <td align="right"><a href="https://colab.research.google.com/github/abhimishra91/transformers-tutorials/blob/master/transformers_multiclass_classification.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/abhimishra91/transformers-tutorials/blob/master/transformers_multi_label_classification.ipynb" rel="nofollow">Fine-tune BERT for Multi-label Classification</a></td> <td align="left">如何使用 PyTorch 对 BERT 进行微调以进行多标签分类</td> <td align="left"><a href="https://github.com/abhimishra91" rel="nofollow">Abhishek Kumar Mishra</a></td> <td align="right"><a href="https://colab.research.google.com/github/abhimishra91/transformers-tutorials/blob/master/transformers_multi_label_classification.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/abhimishra91/transformers-tutorials/blob/master/transformers_summarization_wandb.ipynb" rel="nofollow">Fine-tune T5 for Summarization</a></td> <td align="left">如何在 PyTorch 中微调 T5 进行总结并使用 WandB 跟踪实验</td> <td align="left"><a href="https://github.com/abhimishra91" rel="nofollow">Abhishek Kumar Mishra</a></td> <td align="right"><a href="https://colab.research.google.com/github/abhimishra91/transformers-tutorials/blob/master/transformers_summarization_wandb.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/ELS-RD/transformers-notebook/blob/master/Divide_Hugging_Face_Transformers_training_time_by_2_or_more.ipynb" rel="nofollow">Speed up Fine-Tuning in Transformers with Dynamic Padding / Bucketing</a></td> <td align="left">如何通过使用动态填充/桶排序将微调速度提高两倍</td> <td align="left"><a href="https://github.com/pommedeterresautee" rel="nofollow">Michael Benesty</a></td> <td align="right"><a href="https://colab.research.google.com/drive/1CBfRU1zbfu7-ijiOqAAQUA-RJaxfcJoO?usp=sharing" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/patrickvonplaten/notebooks/blob/master/Reformer_For_Masked_LM.ipynb" rel="nofollow">Pretrain Reformer for Masked Language Modeling</a></td> <td align="left">如何训练一个带有双向自注意力层的Reformer模型</td> <td align="left"><a href="https://github.com/patrickvonplaten" rel="nofollow">Patrick von Platen</a></td> <td align="right"><a href="https://colab.research.google.com/drive/1tzzh0i8PgDQGV3SMFUGxM7_gGae3K-uW?usp=sharing" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/lordtt13/word-embeddings/blob/master/COVID-19%20Research%20Data/COVID-SciBERT.ipynb" rel="nofollow">Expand and Fine Tune Sci-BERT</a></td> <td align="left">如何在 CORD 数据集上增加 AllenAI 预训练的 SciBERT 模型的词汇量，并对其进行流水线化</td> <td align="left"><a href="https://github.com/lordtt13" rel="nofollow">Tanmay Thakur</a></td> <td align="right"><a href="https://colab.research.google.com/drive/1rqAR40goxbAfez1xvF3hBJphSCsvXmh8" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/lordtt13/transformers-experiments/blob/master/Custom%20Tasks/fine-tune-blenderbot_small-for-summarization.ipynb" rel="nofollow">Fine Tune BlenderBotSmall for Summarization using the Trainer API</a></td> <td align="left">如何使用Trainer API在自定义数据集上对BlenderBotSmall进行微调以进行文本摘要</td> <td align="left"><a href="https://github.com/lordtt13" rel="nofollow">Tanmay Thakur</a></td> <td align="right"><a href="https://colab.research.google.com/drive/19Wmupuls7mykSGyRN_Qo6lPQhgp56ymq?usp=sharing" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/elsanns/xai-nlp-notebooks/blob/master/electra_fine_tune_interpret_captum_ig.ipynb" rel="nofollow">Fine-tune Electra and interpret with Integrated Gradients</a></td> <td align="left">如何对Electra模型进行微调以进行情感分析，并使用Captum集成梯度来解释预测结果</td> <td align="left"><a href="https://elsanns.github.io" rel="nofollow">Eliza Szczechla</a></td> <td align="right"><a href="https://colab.research.google.com/github/elsanns/xai-nlp-notebooks/blob/master/electra_fine_tune_interpret_captum_ig.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/philschmid/fine-tune-GPT-2/blob/master/Fine_tune_a_non_English_GPT_2_Model_with_Huggingface.ipynb" rel="nofollow">fine-tune a non-English GPT-2 Model with Trainer class</a></td> <td align="left">如何使用 Trainer 类微调非英语 GPT-2 模型</td> <td align="left"><a href="https://www.philschmid.de" rel="nofollow">Philipp Schmid</a></td> <td align="right"><a href="https://colab.research.google.com/github/philschmid/fine-tune-GPT-2/blob/master/Fine_tune_a_non_English_GPT_2_Model_with_Huggingface.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/DhavalTaunk08/Transformers_scripts/blob/master/Transformers_multilabel_distilbert.ipynb" rel="nofollow">Fine-tune a DistilBERT Model for Multi Label Classification task</a></td> <td align="left">如何针对多标签分类任务微调 DistilBERT 模型</td> <td align="left"><a href="https://github.com/DhavalTaunk08" rel="nofollow">Dhaval Taunk</a></td> <td align="right"><a href="https://colab.research.google.com/github/DhavalTaunk08/Transformers_scripts/blob/master/Transformers_multilabel_distilbert.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/NadirEM/nlp-notebooks/blob/master/Fine_tune_ALBERT_sentence_pair_classification.ipynb" rel="nofollow">Fine-tune ALBERT for sentence-pair classification</a></td> <td align="left">如何针对句子对分类任务对 ALBERT 模型或其他基于 BERT 的模型进行微调</td> <td align="left"><a href="https://github.com/NadirEM" rel="nofollow">Nadir El Manouzi</a></td> <td align="right"><a href="https://colab.research.google.com/github/NadirEM/nlp-notebooks/blob/master/Fine_tune_ALBERT_sentence_pair_classification.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/DhavalTaunk08/NLP_scripts/blob/master/sentiment_analysis_using_roberta.ipynb" rel="nofollow">Fine-tune Roberta for sentiment analysis</a></td> <td align="left">如何微调 Roberta 模型进行情绪分析</td> <td align="left"><a href="https://github.com/DhavalTaunk08" rel="nofollow">Dhaval Taunk</a></td> <td align="right"><a href="https://colab.research.google.com/github/DhavalTaunk08/NLP_scripts/blob/master/sentiment_analysis_using_roberta.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/flexudy-pipe/qugeev" rel="nofollow">Evaluating Question Generation Models</a></td> <td align="left">你的 seq2seq 转换器模型生成的问题的答案有多准确？</td> <td align="left"><a href="https://github.com/zolekode" rel="nofollow">Pascal Zoleko</a></td> <td align="right"><a href="https://colab.research.google.com/drive/1bpsSqCQU-iw_5nNoRm_crPq6FRuJthq_?usp=sharing" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/peterbayerle/huggingface_notebook/blob/main/distilbert_tf.ipynb" rel="nofollow">Classify text with DistilBERT and Tensorflow</a></td> <td align="left">如何在 TensorFlow 中微调 DistilBERT 以进行文本分类</td> <td align="left"><a href="https://github.com/peterbayerle" rel="nofollow">Peter Bayerle</a></td> <td align="right"><a href="https://colab.research.google.com/github/peterbayerle/huggingface_notebook/blob/main/distilbert_tf.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/patrickvonplaten/notebooks/blob/master/BERT2BERT_for_CNN_Dailymail.ipynb" rel="nofollow">Leverage BERT for Encoder-Decoder Summarization on CNN/Dailymail</a></td> <td align="left">如何在CNN/Dailymail摘要任务上使用<em>google-bert/bert-base-uncased</em>检查点对<em>EncoderDecoderModel</em>进行热启动</td> <td align="left"><a href="https://github.com/patrickvonplaten" rel="nofollow">Patrick von Platen</a></td> <td align="right"><a href="https://colab.research.google.com/github/patrickvonplaten/notebooks/blob/master/BERT2BERT_for_CNN_Dailymail.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/patrickvonplaten/notebooks/blob/master/RoBERTaShared_for_BBC_XSum.ipynb" rel="nofollow">Leverage RoBERTa for Encoder-Decoder Summarization on BBC XSum</a></td> <td align="left">如何在BBC/XSum摘要任务上使用<em>FacebookAI/roberta-base</em>检查点对共享的<em>EncoderDecoderModel</em>进行热启动</td> <td align="left"><a href="https://github.com/patrickvonplaten" rel="nofollow">Patrick von Platen</a></td> <td align="right"><a href="https://colab.research.google.com/github/patrickvonplaten/notebooks/blob/master/RoBERTaShared_for_BBC_XSum.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/NielsRogge/Transformers-Tutorials/blob/master/TAPAS/Fine_tuning_TapasForQuestionAnswering_on_SQA.ipynb" rel="nofollow">Fine-tune TAPAS on Sequential Question Answering (SQA)</a></td> <td align="left">如何在Sequential Question Answering (SQA)数据集上使用<em>tapas-base</em>检查点对<em>TapasForQuestionAnswering</em>进行微调</td> <td align="left"><a href="https://github.com/nielsrogge" rel="nofollow">Niels Rogge</a></td> <td align="right"><a href="https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/TAPAS/Fine_tuning_TapasForQuestionAnswering_on_SQA.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/NielsRogge/Transformers-Tutorials/blob/master/TAPAS/Evaluating_TAPAS_on_the_Tabfact_test_set.ipynb" rel="nofollow">Evaluate TAPAS on Table Fact Checking (TabFact)</a></td> <td align="left">如何结合使用 🤗 数据集和 🤗 transformers 库，使用<em>tapas-base-finetuned-tabfact</em>检查点评估经过微调的<em>TapasForSequenceClassification</em></td> <td align="left"><a href="https://github.com/nielsrogge" rel="nofollow">Niels Rogge</a></td> <td align="right"><a href="https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/TAPAS/Evaluating_TAPAS_on_the_Tabfact_test_set.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://colab.research.google.com/github/vasudevgupta7/huggingface-tutorials/blob/main/translation_training.ipynb" rel="nofollow">Fine-tuning mBART for translation</a></td> <td align="left">如何使用 Seq2SeqTrainer 对 mBART 进行微调以实现印地语到英语的翻译</td> <td align="left"><a href="https://github.com/vasudevgupta7" rel="nofollow">Vasudev Gupta</a></td> <td align="right"><a href="https://colab.research.google.com/github/vasudevgupta7/huggingface-tutorials/blob/main/translation_training.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/NielsRogge/Transformers-Tutorials/blob/master/LayoutLM/Fine_tuning_LayoutLMForTokenClassification_on_FUNSD.ipynb" rel="nofollow">Fine-tune LayoutLM on FUNSD (a form understanding dataset)</a></td> <td align="left">如何在FUNSD数据集上对<em>LayoutLMForTokenClassification</em>进行微调以从扫描文档中提取信息</td> <td align="left"><a href="https://github.com/nielsrogge" rel="nofollow">Niels Rogge</a></td> <td align="right"><a href="https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLM/Fine_tuning_LayoutLMForTokenClassification_on_FUNSD.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://colab.research.google.com/github/tripathiaakash/DistilGPT2-Tutorial/blob/main/distilgpt2_fine_tuning.ipynb" rel="nofollow">Fine-Tune DistilGPT2 and Generate Text</a></td> <td align="left">如何微调 DistilGPT2 并生成文本</td> <td align="left"><a href="https://github.com/tripathiaakash" rel="nofollow">Aakash Tripathi</a></td> <td align="right"><a href="https://colab.research.google.com/github/tripathiaakash/DistilGPT2-Tutorial/blob/main/distilgpt2_fine_tuning.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/patrickvonplaten/notebooks/blob/master/Fine_tune_Longformer_Encoder_Decoder_(LED)_for_Summarization_on_pubmed.ipynb" rel="nofollow">Fine-Tune LED on up to 8K tokens</a></td> <td align="left">如何对LED模型在PubMed数据集上进行微调以进行长文本摘要</td> <td align="left"><a href="https://github.com/patrickvonplaten" rel="nofollow">Patrick von Platen</a></td> <td align="right"><a href="https://colab.research.google.com/github/patrickvonplaten/notebooks/blob/master/Fine_tune_Longformer_Encoder_Decoder_(LED)_for_Summarization_on_pubmed.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/patrickvonplaten/notebooks/blob/master/LED_on_Arxiv.ipynb" rel="nofollow">Evaluate LED on Arxiv</a></td> <td align="left">如何有效评估LED模型的长远发展</td> <td align="left"><a href="https://github.com/patrickvonplaten" rel="nofollow">Patrick von Platen</a></td> <td align="right"><a href="https://colab.research.google.com/github/patrickvonplaten/notebooks/blob/master/LED_on_Arxiv.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/NielsRogge/Transformers-Tutorials/blob/master/LayoutLM/Fine_tuning_LayoutLMForSequenceClassification_on_RVL_CDIP.ipynb" rel="nofollow">Fine-tune LayoutLM on RVL-CDIP (a document image classification dataset)</a></td> <td align="left">如何在 RVL-CDIP 数据集上微调<em>LayoutLMForSequenceClassification</em>以进行扫描文档分类</td> <td align="left"><a href="https://github.com/nielsrogge" rel="nofollow">Niels Rogge</a></td> <td align="right"><a href="https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLM/Fine_tuning_LayoutLMForSequenceClassification_on_RVL_CDIP.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/voidful/huggingface_notebook/blob/main/xlsr_gpt.ipynb" rel="nofollow">Wav2Vec2 CTC decoding with GPT2 adjustment</a></td> <td align="left">如何通过语言模型调整解码 CTC 序列</td> <td align="left"><a href="https://github.com/voidful" rel="nofollow">Eric Lam</a></td> <td align="right"><a href="https://colab.research.google.com/drive/1e_z5jQHYbO2YKEaUgzb1ww1WwiAyydAj?usp=sharing" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/elsanns/xai-nlp-notebooks/blob/master/fine_tune_bart_summarization_two_langs.ipynb" rel="nofollow">Fine-tune BART for summarization in two languages with Trainer class</a></td> <td align="left">如何使用Trainer类对BART模型进行多语言摘要任务的微调</td> <td align="left"><a href="https://github.com/elsanns" rel="nofollow">Eliza Szczechla</a></td> <td align="right"><a href="https://colab.research.google.com/github/elsanns/xai-nlp-notebooks/blob/master/fine_tune_bart_summarization_two_langs.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/patrickvonplaten/notebooks/blob/master/Evaluating_Big_Bird_on_TriviaQA.ipynb" rel="nofollow">Evaluate Big Bird on Trivia QA</a></td> <td align="left">评估BigBird模型在长文档问答任务上的性能，特别是在Trivia QA数据集上</td> <td align="left"><a href="https://github.com/patrickvonplaten" rel="nofollow">Patrick von Platen</a></td> <td align="right"><a href="https://colab.research.google.com/github/patrickvonplaten/notebooks/blob/master/Evaluating_Big_Bird_on_TriviaQA.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/Muennighoff/ytclipcc/blob/main/wav2vec_youtube_captions.ipynb" rel="nofollow">Create video captions using Wav2Vec2</a></td> <td align="left">如何使用Wav2Vec对任何视频的音频进行转录以创建YouTube字幕</td> <td align="left"><a href="https://github.com/Muennighoff" rel="nofollow">Niklas Muennighoff</a></td> <td align="right"><a href="https://colab.research.google.com/github/Muennighoff/ytclipcc/blob/main/wav2vec_youtube_captions.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/NielsRogge/Transformers-Tutorials/blob/master/VisionTransformer/Fine_tuning_the_Vision_Transformer_on_CIFAR_10_with_PyTorch_Lightning.ipynb" rel="nofollow">Fine-tune the Vision Transformer on CIFAR-10 using PyTorch Lightning</a></td> <td align="left">如何使用HuggingFace的Transformers、Datasets和PyTorch Lightning在CIFAR-10数据集上对Vision Transformer（ViT）进行微调</td> <td align="left"><a href="https://github.com/nielsrogge" rel="nofollow">Niels Rogge</a></td> <td align="right"><a href="https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/VisionTransformer/Fine_tuning_the_Vision_Transformer_on_CIFAR_10_with_PyTorch_Lightning.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/NielsRogge/Transformers-Tutorials/blob/master/VisionTransformer/Fine_tuning_the_Vision_Transformer_on_CIFAR_10_with_the_%F0%9F%A4%97_Trainer.ipynb" rel="nofollow">Fine-tune the Vision Transformer on CIFAR-10 using the 🤗 Trainer</a></td> <td align="left">如何使用HuggingFace的Transformers、Datasets和🤗 Trainer在CIFAR-10数据集上对Vision Transformer（ViT）进行微调</td> <td align="left"><a href="https://github.com/nielsrogge" rel="nofollow">Niels Rogge</a></td> <td align="right"><a href="https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/VisionTransformer/Fine_tuning_the_Vision_Transformer_on_CIFAR_10_with_the_%F0%9F%A4%97_Trainer.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/studio-ousia/luke/blob/master/notebooks/huggingface_open_entity.ipynb" rel="nofollow">Evaluate LUKE on Open Entity, an entity typing dataset</a></td> <td align="left">如何在开放实体数据集上评估<em>LukeForEntityClassification</em></td> <td align="left"><a href="https://github.com/ikuyamada" rel="nofollow">Ikuya Yamada</a></td> <td align="right"><a href="https://colab.research.google.com/github/studio-ousia/luke/blob/master/notebooks/huggingface_open_entity.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/studio-ousia/luke/blob/master/notebooks/huggingface_tacred.ipynb" rel="nofollow">Evaluate LUKE on TACRED, a relation extraction dataset</a></td> <td align="left">如何在 TACRED 数据集上评估<em>LukeForEntityPairClassification</em></td> <td align="left"><a href="https://github.com/ikuyamada" rel="nofollow">Ikuya Yamada</a></td> <td align="right"><a href="https://colab.research.google.com/github/studio-ousia/luke/blob/master/notebooks/huggingface_tacred.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/studio-ousia/luke/blob/master/notebooks/huggingface_conll_2003.ipynb" rel="nofollow">Evaluate LUKE on CoNLL-2003, an important NER benchmark</a></td> <td align="left">如何在 CoNLL-2003 数据集上评估<em>LukeForEntitySpanClassification</em></td> <td align="left"><a href="https://github.com/ikuyamada" rel="nofollow">Ikuya Yamada</a></td> <td align="right"><a href="https://colab.research.google.com/github/studio-ousia/luke/blob/master/notebooks/huggingface_conll_2003.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/vasudevgupta7/bigbird/blob/main/notebooks/bigbird_pegasus_evaluation.ipynb" rel="nofollow">Evaluate BigBird-Pegasus on PubMed dataset</a></td> <td align="left">如何在 PubMed 数据集上评估<em>BigBirdPegasusForConditionalGeneration</em></td> <td align="left"><a href="https://github.com/vasudevgupta7" rel="nofollow">Vasudev Gupta</a></td> <td align="right"><a href="https://colab.research.google.com/github/vasudevgupta7/bigbird/blob/main/notebooks/bigbird_pegasus_evaluation.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/m3hrdadfi/soxan/blob/main/notebooks/Emotion_recognition_in_Greek_speech_using_Wav2Vec2.ipynb" rel="nofollow">Speech Emotion Classification with Wav2Vec2</a></td> <td align="left">如何利用预训练的 Wav2Vec2 模型在 MEGA 数据集上进行情绪分类</td> <td align="left"><a href="https://github.com/m3hrdadfi" rel="nofollow">Mehrdad Farahani</a></td> <td align="right"><a href="https://colab.research.google.com/github/m3hrdadfi/soxan/blob/main/notebooks/Emotion_recognition_in_Greek_speech_using_Wav2Vec2.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/NielsRogge/Transformers-Tutorials/blob/master/DETR/DETR_minimal_example_(with_DetrFeatureExtractor).ipynb" rel="nofollow">Detect objects in an image with DETR</a></td> <td align="left">如何使用经过训练的<em>DetrForObjectDetection</em>模型检测图像中的物体并可视化注意力</td> <td align="left"><a href="https://github.com/NielsRogge" rel="nofollow">Niels Rogge</a></td> <td align="right"><a href="https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/DETR/DETR_minimal_example_(with_DetrFeatureExtractor).ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/NielsRogge/Transformers-Tutorials/blob/master/DETR/Fine_tuning_DetrForObjectDetection_on_custom_dataset_(balloon).ipynb" rel="nofollow">Fine-tune DETR on a custom object detection dataset</a></td> <td align="left">如何在自定义对象检测数据集上微调<em>DetrForObjectDetection</em></td> <td align="left"><a href="https://github.com/NielsRogge" rel="nofollow">Niels Rogge</a></td> <td align="right"><a href="https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/DETR/Fine_tuning_DetrForObjectDetection_on_custom_dataset_(balloon).ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/ToluClassics/Notebooks/blob/main/T5_Ner_Finetuning.ipynb" rel="nofollow">Finetune T5 for Named Entity Recognition</a></td> <td align="left">如何在命名实体识别任务中微调<em>T5</em></td> <td align="left"><a href="https://github.com/ToluClassics" rel="nofollow">Ogundepo Odunayo</a></td> <td align="right"><a href="https://colab.research.google.com/drive/1obr78FY_cBmWY5ODViCmzdY6O1KB65Vc?usp=sharing" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr> <tr><td align="left"><a href="https://github.com/mlflow/mlflow/blob/master/docs/source/llms/transformers/tutorials/fine-tuning/transformers-peft.ipynb" rel="nofollow">Fine-Tuning Open-Source LLM using QLoRA with MLflow and PEFT</a></td> <td align="left">如何使用<a href="https://github.com/artidoro/qlora" rel="nofollow">QLoRA</a> 和<a href="https://huggingface.co/docs/peft/en/index" rel="nofollow">PEFT</a>以内存高效的方式微调大型语言模型（LLM），同时使用 <a href="https://mlflow.org/docs/latest/llms/transformers/index.html" rel="nofollow">MLflow</a>进行实验跟踪</td> <td align="left"><a href="https://github.com/B-Step62" rel="nofollow">Yuki Watanabe</a></td> <td align="right"><a href="https://colab.research.google.com/github/mlflow/mlflow/blob/master/docs/source/llms/transformers/tutorials/fine-tuning/transformers-peft.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr></tbody></table> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" 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