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AGENTS CLAUDE Contributor Covenant Code of Conduct Contribute to 🤗 Transformers How To Request Support Version 5 Migration guide Security Policy Awesome projects built with Transformers Writing docs Translating the Transformers documentation into your language التدريب الموزع باستخدام 🤗 Accelerate آليات الانتباه تحميل نماذج مدربة مسبقًا باستخدام AutoClass BERTology قوالب نماذج الدردشة مجتمع المطورين الدردشة مع المحوّلات إنشاء بنية مخصصة بناء نماذج مخصصة استخدام مجزئيات النصوص من 🤗 Tokenizers GGUF وتفاعلها مع المحولات قاموس المصطلحات كيفية تعديل أي نموذج من نماذج Transformers 🤗 Transformers: لمحة عامة التثبيت (Installation)التوليد باستخدام نماذج اللغات الكبيرة (LLMs)تحسين نماذج اللغة الكبيرة من حيث السرعة والذاكرة تشريح عملية تدريب النموذج شارك نموذجك مع العالم عائلة نماذج المحول المحولات النمطية النماذج متعددة اللغات للاستدلال دفاتر ملاحظات 🤗 Transformers الحشو والتقليم تحميل المحوّلات باستخدام 🤗 PEFT التعقيد اللغوي للنماذج ذات الطول الثابت الفلسفة خطوط الأنابيب الاستدلال استخدام قنوات المعالجة لخادم ويب المعالجة المسبقة Preprocessing جولة سريعة التدريب باستخدام نص برمجى تشغيل التدريب على Amazon SageMaker التصدير إلى ONNX ما الذي تستطيع مكتبة 🤗 Transformers القيام به؟نمذجة اللغة السببية (Causal language modeling)نمذجة اللغة المقنعة (Masked language modeling)الاختيار من متعدد (Multiple choice)الإجابة على الأسئلة (Question answering)تصنيف النص(Text classification)التلخيص (Summarization)تصنيف الرموز(Token classification)الترجمة(Translation)كيف تُنجز نماذج 🤗 Transformers المهام؟Tiktoken والتفاعل مع Transformers ملخص عن المجزئات اللغوية Trainer ضبط نموذج مُدرب مسبقًا استكشاف الأخطاء وإصلاحها Verteiltes Training mit 🤗 Accelerate Wie kann ich ein Modell zu 🤗 Transformers hinzufügen?Wie erstellt man eine benutzerdefinierte Pipeline?Vortrainierte Instanzen mit einer AutoClass laden Zu 🤗 Transformers beitragen 🤗 Transformers Installation Generation with LLMs Ein Modell teilen Adapter mit 🤗 PEFT laden Pipelines für Inferenzen Überprüfungen bei einer Pull-Anfrage Vorverarbeiten Schnellstart Trainieren mit einem Skript Testen Optimierung eines vortrainierten Modells Accelerate Accelerator selection Add audio processing components Legacy model contribution Adding a new pipeline Add vision processing components Assisted decoding Attention backends Auto-generating docstrings Backbones Caching Chat message patterns Tool use Response Parsing Chat templates Multimodal chat templates Writing a chat template Community Axolotl Candle ExecuTorch llama.cpp MLX Nanotron

Repository docs 2

NeMo Automodel NeMo Automodel SGLang TensorRT-LLM torchtitan Building a compatible model backend for inference TRL Unsloth vLLM Continuous batching Continuous batching architecture Contributing Chat basics Customizing models Transformers Installation Kernels Configuration Overview 🤗 Transformers Instalación 🤗 Transformers Installation 🤗 Transformers

Source symbols

Source symbols: src/transformers/__init__.py Source symbols: src/transformers/_typing.py Source symbols: src/transformers/activations.py Source symbols: src/transformers/audio_utils.py Source symbols: src/transformers/backbone_utils.py Source symbols: src/transformers/cache_utils.py Source symbols: src/transformers/cli/serving/response.py Source symbols: src/transformers/cli/serving/server.py Source symbols: src/transformers/configuration_utils.py Source symbols: src/transformers/conversion_mapping.py Source symbols: src/transformers/convert_slow_tokenizer.py Source symbols: src/transformers/convert_slow_tokenizers_checkpoints_to_fast.py Source symbols: src/transformers/core_model_loading.py Source symbols: src/transformers/debug_utils.py Source symbols: src/transformers/dependency_versions_check.py Source symbols: src/transformers/dynamic_module_utils.py Source symbols: src/transformers/feature_extraction_sequence_utils.py Source symbols: src/transformers/feature_extraction_utils.py

File index

Files: .ai Files: .circleci Files: .github Files: Repository root Files: benchmark Files: benchmark_v2 Files: docker Files: docs (1/3)Files: docs (2/3)Files: docs (3/3)Files: examples Files: i18n Files: notebooks Files: scripts Files: src (1/5)Files: src (2/5)Files: src (3/5)Files: src (4/5)Files: src (5/5)Files: tests (1/3)Files: tests (2/3)Files: tests (3/3)Files: utils

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notebooks/README.md

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On this page

🤗 Transformers

インストール

🤗 Transformers

설치방법[[installation]]

구성[[configuration]]

🤗 Transformers

Guia de Instalação

🤗 Transformers简介

Using the modular converter linter

Research projects

GreedyLR: Adaptive Learning Rate Scheduler

Source symbols: src/transformers/fusion_mapping.py

Source symbols: src/transformers/generation/continuous_batching/cache.py

Source symbols: src/transformers/generation/continuous_batching/cache_manager.py

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Source symbols: src/transformers/hf_argparser.py

Source symbols: src/transformers/hyperparameter_search.py

Source symbols: src/transformers/image_processing_backends.py

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Source symbols: src/transformers/masking_utils.py

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Source symbols: src/transformers/monkey_patching.py

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Source symbols: src/transformers/processing_utils.py

Source symbols: src/transformers/pytorch_utils.py

Source symbols: src/transformers/safetensors_conversion.py

Source symbols: src/transformers/time_series_utils.py

Source symbols: src/transformers/tokenization_mistral_common.py

Source symbols: src/transformers/tokenization_python.py

Source symbols: src/transformers/tokenization_utils_sentencepiece.py

Source symbols: src/transformers/tokenization_utils_tokenizers.py

Source symbols: src/transformers/trainer_callback.py

Source symbols: src/transformers/trainer_jit_checkpoint.py

Source symbols: src/transformers/training_args_seq2seq.py

Source symbols: src/transformers/utils/chat_parsing/response_parser.py

Source symbols: src/transformers/utils/chat_parsing/response_templates.py