Buckets:
| import{s as V,n as Q,o as q}from"../chunks/scheduler.5eb9d175.js";import{S as j,i as H,g as m,s as r,r as L,A as U,h as d,f as a,c as n,j as G,u as P,x as B,k as $,y as W,a as o,v as A,d as D,t as I,w as O}from"../chunks/index.fcdcb606.js";import{H as S,E as K}from"../chunks/EditOnGithub.98bf070f.js";function Y(N){let l,_,p,w,i,T,s,M="هذه الصفحة تجمع الموارد حول 🤗 Transformers التي طورها المجتمع.",y,g,v,h,x='<thead><tr><th align="left">المصدر</th> <th align="left">الوصف</th> <th align="right">المؤلف</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">مجموعة من البطاقات التعليمية القائمة على <a href="glossary">Transformers Docs Glossary</a> والتي تم وضعها في شكل يمكن تعلمه/مراجعته بسهولة باستخدام <a href="https://apps.ankiweb.net/" rel="nofollow">Anki</a> وهو تطبيق مفتوح المصدر متعدد المنصات مصمم خصيصًا للاحتفاظ بالمعرفة على المدى الطويل. شاهد هذا <a href="https://www.youtube.com/watch?v=Dji_7PILrw" rel="nofollow">فيديو تمهيدي حول كيفية استخدام البطاقات التعليمية</a>.</td> <td align="right"><a href="https://www.darigovresearch.com/" rel="nofollow">Darigov Research</a></td></tr></tbody>',k,b,C,c,z='<thead><tr><th align="left">الدفتر</th> <th align="left">الوصف</th> <th align="left">المؤلف</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">كيفية توليد كلمات الأغاني على غرار فنانك المفضل من خلال ضبط نموذج GPT-2</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">كيفية تدريب T5 لأي مهمة باستخدام Tensorflow 2. يوضح هذا الدفتر مهمة السؤال والجواب المنفذة في Tensorflow 2 باستخدام SQUAD</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">كيفية تدريب T5 على SQUAD مع Transformers و Nlp</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">كيفية ضبط نموذج T5 للتصنيف والمهام متعددة الخيارات باستخدام تنسيق النص إلى نص مع PyTorch Lightning</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">كيفية ضبط نموذج DialoGPT على مجموعة بيانات جديدة لروبوتات الدردشة المحادثية المفتوحة</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">كيفية التدريب على تسلسلات طويلة تصل إلى 500,000 رمز باستخدام Reformer</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">كيفية ضبط نموذج BART للتلخيص باستخدام fastai باستخدام blurr</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">كيفية توليد تغريدات على غرار حساب Twitter المفضل لديك من خلال ضبط نموذج GPT-2</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">دليل كامل لعرض تكامل W&B مع Hugging Face</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">كيفية بناء نسخة “طويلة” من النماذج المسبقة التدريب الموجودة</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">كيفية ضبط نموذج Longformer لمهمة QA</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">كيفية تقييم نموذج Longformer على TriviaQA مع <code>nlp</code></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">كيفية ضبط نموذج T5 لاستخراج المشاعر باستخدام تنسيق النص إلى نص مع PyTorch Lightning</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">كيفية ضبط نموذج DistilBert للتصنيف متعدد الفئات باستخدام PyTorch</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">كيفية ضبط نموذج BERT للتصنيف متعدد التصنيفات باستخدام PyTorch</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">كيفية ضبط نموذج T5 للتلخيص في PyTorch وتتبع التجارب باستخدام WandB</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">كيفية تسريع الضبط الدقيق بعامل 2 باستخدام الضبط الديناميكي/التقسيم</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">كيفية تدريب نموذج Reformer مع طبقات الانتباه ثنائية الاتجاه</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">كيفية زيادة مفردات نموذج SciBERT المسبق التدريب من AllenAI على مجموعة بيانات CORD وإنشاء خط أنابيب لها.</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">كيفية ضبط نموذج BlenderBotSmall للتلخيص على مجموعة بيانات مخصصة، باستخدام واجهة برمجة التطبيقات Trainer.</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">كيفية ضبط نموذج Electra للتحليل العاطفي وتفسير التنبؤات باستخدام Captum Integrated Gradients</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">كيفية ضبط نموذج GPT-2 غير الإنجليزي باستخدام فئة Trainer</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">كيفية ضبط نموذج DistilBERT لمهمة التصنيف متعدد التصنيفات</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">كيفية ضبط نموذج ALBERT أو أي نموذج آخر قائم على BERT لمهمة التصنيف المزدوج للجمل</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">كيفية ضبط نموذج Roberta للتحليل العاطفي</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">ما مدى دقة الإجابات على الأسئلة التي يولدها نموذجك التحويلي seq2seq؟</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">كيفية ضبط نموذج DistilBERT للتصنيف النصي في TensorFlow</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">كيفية البدء السريع لنموذج <em>EncoderDecoderModel</em> مع نقطة تفتيش <em>google-bert/bert-base-uncased</em> للتلخيص على CNN/Dailymail</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">كيفية البدء السريع لنموذج <em>EncoderDecoderModel</em> المشترك مع نقطة تفتيش <em>FacebookAI/roberta-base</em> للتلخيص على BBC/XSum</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">كيفية ضبط نموذج <em>TapasForQuestionAnswering</em> مع نقطة تفتيش <em>tapas-base</em> على مجموعة بيانات Sequential Question Answering (SQA)</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">كيفية تقييم نموذج <em>TapasForSequenceClassification</em> المضبوط مسبقًا مع نقطة تفتيش <em>tapas-base-finetuned-tabfact</em> باستخدام مزيج من مكتبتي 🤗 datasets و 🤗 transformers</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">كيفية ضبط نموذج mBART باستخدام Seq2SeqTrainer للترجمة من الهندية إلى الإنجليزية</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">كيفية ضبط نموذج <em>LayoutLMForTokenClassification</em> على مجموعة بيانات FUNSD لاستخراج المعلومات من المستندات الممسوحة ضوئيًا</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">كيفية ضبط نموذج DistilGPT2 وتوليد النص</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">كيفية ضبط نموذج LED على pubmed للتلخيص طويل المدى</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">كيفية تقييم نموذج LED للتلخيص طويل المدى بشكل فعال</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">كيفية ضبط نموذج <em>LayoutLMForSequenceClassification</em> على مجموعة بيانات RVL-CDIP لتصنيف المستندات الممسوحة ضوئيًا</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">كيفية فك تشفير تسلسل CTC مع تعديل نموذج اللغة</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_zQHYbO2YKEaUgzb1ww1WwiAyydAj?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">كيفية ضبط نموذج BART للتلخيص بلغتين باستخدام فئة Trainer</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">كيفية تقييم نموذج BigBird للأسئلة والأجوبة على وثائق طويلة على Trivia QA</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">كيفية إنشاء تعليقات توضيحية على YouTube من أي فيديو من خلال تفريغ الصوت باستخدام Wav2Vec</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">كيفية ضبط نموذج Vision Transformer (ViT) على CIFAR-10 باستخدام مكتبات HuggingFace Transformers و Datasets و PyTorch Lightning</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">كيفية ضبط نموذج Vision Transformer (ViT) على CIFAR-10 باستخدام مكتبات HuggingFace Transformers و Datasets و 🤗 Trainer</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">كيفية تقييم نموذج <em>LukeForEntityClassification</em> على مجموعة بيانات Open Entity</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">كيفية تقييم نموذج <em>LukeForEntityPairClassification</em> على مجموعة بيانات TACRED</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">كيفية تقييم نموذج <em>LukeForEntitySpanClassification</em> على مجموعة بيانات CoNLL-2003</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">كيفية تقييم نموذج <em>BigBirdPegasusForConditionalGeneration</em> على مجموعة بيانات PubMed</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">كيفية استخدام نموذج Wav2Vec2 المسبق التدريب لتصنيف المشاعر على مجموعة بيانات MEGA</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">كيفية استخدام نموذج <em>DetrForObjectDetection</em> المدرب للكشف عن الأجسام في صورة وتصوير الانتباه</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">كيفية ضبط نموذج <em>DetrForObjectDetection</em> على مجموعة بيانات الكشف عن الأجسام المخصصة</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">كيفية ضبط نموذج <em>T5</em> على مهمة التعرف على الكيانات المسماة</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">كيفية استخدام <a href="https://github.com/artidoro/qlora" rel="nofollow">QLoRA</a> و <a href="https://huggingface.co/docs/peft/en/index" rel="nofollow">PEFT</a> لضبط نموذج LLM بطريقة فعالة من حيث الذاكرة، مع استخدام <a href="https://mlflow.org/docs/latest/llms/transformers/index.html" rel="nofollow">MLflow</a> لإدارة تتبع التجارب</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>',F,f,R,u,E;return i=new S({props:{title:"مجتمع المطورين",local:"مجتمع-المطورين",headingTag:"h1"}}),g=new S({props:{title:"موارد المجتمع:",local:"موارد-المجتمع",headingTag:"h2"}}),b=new S({props:{title:"دفاتر ملاحظات المجتمع:",local:"دفاتر-ملاحظات-المجتمع",headingTag:"h2"}}),f=new K({props:{source:"https://github.com/huggingface/transformers/blob/main/docs/source/ar/community.md"}}),{c(){l=m("meta"),_=r(),p=m("p"),w=r(),L(i.$$.fragment),T=r(),s=m("p"),s.textContent=M,y=r(),L(g.$$.fragment),v=r(),h=m("table"),h.innerHTML=x,k=r(),L(b.$$.fragment),C=r(),c=m("table"),c.innerHTML=z,F=r(),L(f.$$.fragment),R=r(),u=m("p"),this.h()},l(t){const e=U("svelte-u9bgzb",document.head);l=d(e,"META",{name:!0,content:!0}),e.forEach(a),_=n(t),p=d(t,"P",{}),G(p).forEach(a),w=n(t),P(i.$$.fragment,t),T=n(t),s=d(t,"P",{"data-svelte-h":!0}),B(s)!=="svelte-tmeinh"&&(s.textContent=M),y=n(t),P(g.$$.fragment,t),v=n(t),h=d(t,"TABLE",{"data-svelte-h":!0}),B(h)!=="svelte-13424rl"&&(h.innerHTML=x),k=n(t),P(b.$$.fragment,t),C=n(t),c=d(t,"TABLE",{"data-svelte-h":!0}),B(c)!=="svelte-z9kxu1"&&(c.innerHTML=z),F=n(t),P(f.$$.fragment,t),R=n(t),u=d(t,"P",{}),G(u).forEach(a),this.h()},h(){$(l,"name","hf:doc:metadata"),$(l,"content",X)},m(t,e){W(document.head,l),o(t,_,e),o(t,p,e),o(t,w,e),A(i,t,e),o(t,T,e),o(t,s,e),o(t,y,e),A(g,t,e),o(t,v,e),o(t,h,e),o(t,k,e),A(b,t,e),o(t,C,e),o(t,c,e),o(t,F,e),A(f,t,e),o(t,R,e),o(t,u,e),E=!0},p:Q,i(t){E||(D(i.$$.fragment,t),D(g.$$.fragment,t),D(b.$$.fragment,t),D(f.$$.fragment,t),E=!0)},o(t){I(i.$$.fragment,t),I(g.$$.fragment,t),I(b.$$.fragment,t),I(f.$$.fragment,t),E=!1},d(t){t&&(a(_),a(p),a(w),a(T),a(s),a(y),a(v),a(h),a(k),a(C),a(c),a(F),a(R),a(u)),a(l),O(i,t),O(g,t),O(b,t),O(f,t)}}}const X='{"title":"مجتمع المطورين","local":"مجتمع-المطورين","sections":[{"title":"موارد المجتمع:","local":"موارد-المجتمع","sections":[],"depth":2},{"title":"دفاتر ملاحظات المجتمع:","local":"دفاتر-ملاحظات-المجتمع","sections":[],"depth":2}],"depth":1}';function J(N){return q(()=>{new URLSearchParams(window.location.search).get("fw")}),[]}class at extends j{constructor(l){super(),H(this,l,J,Y,V,{})}}export{at as component}; | |
Xet Storage Details
- Size:
- 41.5 kB
- Xet hash:
- 6a4d95dd3b8ae867068103bd2e3118afa133fd8ef0d3e2226ed24c80a7ae0fb3
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.