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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

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community_integrations
internal
kernel_doc
main_classes
model_doc
quantization
reference
serve-cli
tasks
_config.py
_redirects.yml
_toctree.yml
accelerate.md
accelerator_selection.md
add_new_model.md
add_new_pipeline.md
assisted_decoding.md
attention_interface.md
auto_docstring.md
backbones.md
cache_explanation.md
chat_content_patterns.md
chat_extras.md
chat_response_parsing.md
chat_templating_multimodal.md
chat_templating_writing.md
chat_templating.md
community.md
continuous_batching.md
contributing.md
conversations.md
custom_models.md
custom_tokenizers.md
data_collators.md
debugging.md
deepspeed.md
expert_parallelism.md
experts_interface.md
fast_tokenizers.md
feature_extractors.md
fsdp.md
generation_features.md
generation_strategies.md
gguf.md
glossary.md
how_to_hack_models.md
hpo_train.md
image_processors.md
index.md
installation.md
kv_cache.md
llm_tutorial_optimization.md
llm_tutorial.md
model_memory_anatomy.md
model_output_tracing.md
model_sharing.md
models_timeline.md
models.md
modular_transformers.md
monkey_patching.md
notebooks.md
optimization_overview.md
optimizers.md
paged_attention.md
peft.md
perf_hardware.md
perf_infer_gpu_multi.md
perf_torch_compile.md
perf_train_cpu_many.md
perf_train_cpu.md
perf_train_gaudi.md
perf_train_gpu_many.md
perf_train_gpu_one.md
perf_train_special.md
perplexity.md
philosophy.md
pipeline_gradio.md
pipeline_tutorial.md
pipeline_webserver.md
pr_checks.md
processors.md
quicktour.md
run_scripts.md
serialization.md
testing.md
tokenizer_summary.md
trainer_callbacks.md
trainer_customize.md
trainer.md
training.md
troubleshooting.md
video_processors.md
weightconverter.md