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local: big_models
title: Instantiate a big model
local: debugging
title: Debugging
local: tf_xla
title: XLA Integration for TensorFlow Models
local: perf_torch_compile
title: Optimize inference using torch.compile()
title: Performance and scalability
sections:
local: contributing
title: How to contribute to πŸ€— Transformers?
local: add_new_model
title: How to add a model to πŸ€— Transformers?
local: add_new_pipeline
title: How to add a pipeline to πŸ€— Transformers?
local: testing
title: Testing
local: pr_checks
title: Checks on a Pull Request
title: Contribute
sections:
local: philosophy
title: Philosophy
local: glossary
title: Glossary
local: task_summary
title: What πŸ€— Transformers can do
local: tasks_explained
title: How πŸ€— Transformers solve tasks
local: model_summary
title: The Transformer model family
local: tokenizer_summary
title: Summary of the tokenizers
local: attention
title: Attention mechanisms
local: pad_truncation
title: Padding and truncation
local: bertology
title: BERTology
local: perplexity
title: Perplexity of fixed-length models
local: pipeline_webserver
title: Pipelines for webserver inference
local: model_memory_anatomy
title: Model training anatomy
local: llm_tutorial_optimization
title: Getting the most out of LLMs
title: Conceptual guides
sections:
sections:
local: main_classes/agent
title: Agents and Tools
local: model_doc/auto
title: Auto Classes
local: main_classes/backbones
title: Backbones
local: main_classes/callback
title: Callbacks
local: main_classes/configuration
title: Configuration
local: main_classes/data_collator
title: Data Collator
local: main_classes/keras_callbacks
title: Keras callbacks
local: main_classes/logging
title: Logging
local: main_classes/model
title: Models
local: main_classes/text_generation
title: Text Generation
local: main_classes/onnx
title: ONNX