Update doc toctree (#25661)
* fix * fix --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
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title: Generation with LLMs
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title: Tutorials
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- sections:
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- sections:
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- local: tasks/sequence_classification
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title: Text classification
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- local: tasks/token_classification
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title: Token classification
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- local: tasks/question_answering
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title: Question answering
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- local: tasks/language_modeling
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title: Causal language modeling
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- local: tasks/masked_language_modeling
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title: Masked language modeling
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- local: tasks/translation
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title: Translation
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- local: tasks/summarization
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title: Summarization
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- local: tasks/multiple_choice
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title: Multiple choice
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- isExpanded: false
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sections:
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- local: tasks/sequence_classification
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title: Text classification
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- local: tasks/token_classification
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title: Token classification
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- local: tasks/question_answering
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title: Question answering
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- local: tasks/language_modeling
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title: Causal language modeling
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- local: tasks/masked_language_modeling
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title: Masked language modeling
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- local: tasks/translation
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title: Translation
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- local: tasks/summarization
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title: Summarization
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- local: tasks/multiple_choice
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title: Multiple choice
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title: Natural Language Processing
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isExpanded: false
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- sections:
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- local: tasks/audio_classification
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title: Audio classification
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- local: tasks/asr
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title: Automatic speech recognition
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- isExpanded: false
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sections:
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- local: tasks/audio_classification
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title: Audio classification
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- local: tasks/asr
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title: Automatic speech recognition
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title: Audio
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isExpanded: false
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- sections:
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- local: tasks/image_classification
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title: Image classification
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- local: tasks/semantic_segmentation
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title: Semantic segmentation
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- local: tasks/video_classification
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title: Video classification
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- local: tasks/object_detection
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title: Object detection
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- local: tasks/zero_shot_object_detection
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title: Zero-shot object detection
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- local: tasks/zero_shot_image_classification
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title: Zero-shot image classification
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- local: tasks/monocular_depth_estimation
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title: Depth estimation
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- isExpanded: false
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sections:
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- local: tasks/image_classification
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title: Image classification
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- local: tasks/semantic_segmentation
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title: Semantic segmentation
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- local: tasks/video_classification
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title: Video classification
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- local: tasks/object_detection
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title: Object detection
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- local: tasks/zero_shot_object_detection
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title: Zero-shot object detection
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- local: tasks/zero_shot_image_classification
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title: Zero-shot image classification
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- local: tasks/monocular_depth_estimation
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title: Depth estimation
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title: Computer Vision
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isExpanded: false
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- sections:
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- local: tasks/image_captioning
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title: Image captioning
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- local: tasks/document_question_answering
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title: Document Question Answering
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- local: tasks/visual_question_answering
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title: Visual Question Answering
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- local: tasks/text-to-speech
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title: Text to speech
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- isExpanded: false
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sections:
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- local: tasks/image_captioning
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title: Image captioning
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- local: tasks/document_question_answering
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title: Document Question Answering
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- local: tasks/visual_question_answering
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title: Visual Question Answering
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- local: tasks/text-to-speech
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title: Text to speech
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title: Multimodal
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isExpanded: false
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- sections:
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- local: generation_strategies
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title: Customize the generation strategy
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- isExpanded: false
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sections:
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- local: generation_strategies
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title: Customize the generation strategy
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title: Generation
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isExpanded: false
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title: Task Guides
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- sections:
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- local: fast_tokenizers
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title: Use fast tokenizers from 🤗 Tokenizers
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- local: multilingual
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title: Run inference with multilingual models
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- local: create_a_model
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title: Use model-specific APIs
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- local: custom_models
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title: Share a custom model
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- local: sagemaker
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title: Run training on Amazon SageMaker
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- local: serialization
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title: Export to ONNX
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- local: tflite
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title: Export to TFLite
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- local: torchscript
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title: Export to TorchScript
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- local: benchmarks
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title: Benchmarks
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- local: notebooks
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title: Notebooks with examples
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- local: community
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title: Community resources
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- local: custom_tools
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title: Custom Tools and Prompts
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- local: troubleshooting
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title: Troubleshoot
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- local: fast_tokenizers
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title: Use fast tokenizers from 🤗 Tokenizers
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- local: multilingual
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title: Run inference with multilingual models
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- local: create_a_model
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title: Use model-specific APIs
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- local: custom_models
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title: Share a custom model
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- local: sagemaker
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title: Run training on Amazon SageMaker
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- local: serialization
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title: Export to ONNX
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- local: tflite
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title: Export to TFLite
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- local: torchscript
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title: Export to TorchScript
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- local: benchmarks
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title: Benchmarks
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- local: notebooks
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title: Notebooks with examples
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- local: community
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title: Community resources
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- local: custom_tools
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title: Custom Tools and Prompts
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- local: troubleshooting
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title: Troubleshoot
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title: Developer guides
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- sections:
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- local: performance
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title: Overview
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- sections:
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- local: perf_train_gpu_one
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title: Methods and tools for efficient training on a single GPU
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- local: perf_train_gpu_many
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title: Multiple GPUs and parallelism
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- local: perf_train_cpu
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title: Efficient training on CPU
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- local: perf_train_cpu_many
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title: Distributed CPU training
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- local: perf_train_tpu
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title: Training on TPUs
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- local: perf_train_tpu_tf
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title: Training on TPU with TensorFlow
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- local: perf_train_special
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title: Training on Specialized Hardware
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- local: perf_hardware
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title: Custom hardware for training
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- local: hpo_train
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title: Hyperparameter Search using Trainer API
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title: Efficient training techniques
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- sections:
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- local: perf_infer_cpu
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title: Inference on CPU
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- local: perf_infer_gpu_one
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title: Inference on one GPU
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- local: perf_infer_gpu_many
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title: Inference on many GPUs
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- local: perf_infer_special
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title: Inference on Specialized Hardware
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title: Optimizing inference
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- local: big_models
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title: Instantiating a big model
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- local: debugging
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title: Troubleshooting
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- local: tf_xla
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title: XLA Integration for TensorFlow Models
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- local: perf_torch_compile
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title: Optimize inference using `torch.compile()`
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- local: performance
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title: Overview
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- sections:
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- local: perf_train_gpu_one
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title: Methods and tools for efficient training on a single GPU
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- local: perf_train_gpu_many
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title: Multiple GPUs and parallelism
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- local: perf_train_cpu
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title: Efficient training on CPU
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- local: perf_train_cpu_many
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title: Distributed CPU training
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- local: perf_train_tpu
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title: Training on TPUs
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- local: perf_train_tpu_tf
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title: Training on TPU with TensorFlow
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- local: perf_train_special
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title: Training on Specialized Hardware
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- local: perf_hardware
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title: Custom hardware for training
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- local: hpo_train
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title: Hyperparameter Search using Trainer API
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title: Efficient training techniques
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- sections:
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- local: perf_infer_cpu
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title: Inference on CPU
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- local: perf_infer_gpu_one
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title: Inference on one GPU
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- local: perf_infer_gpu_many
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title: Inference on many GPUs
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- local: perf_infer_special
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title: Inference on Specialized Hardware
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title: Optimizing inference
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- local: big_models
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title: Instantiating a big model
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- local: debugging
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title: Troubleshooting
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- local: tf_xla
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title: XLA Integration for TensorFlow Models
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- local: perf_torch_compile
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title: Optimize inference using `torch.compile()`
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title: Performance and scalability
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- sections:
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- local: contributing
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title: How to contribute to transformers?
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- local: add_new_model
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title: How to add a model to 🤗 Transformers?
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- local: add_tensorflow_model
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title: How to convert a 🤗 Transformers model to TensorFlow?
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- local: add_new_pipeline
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title: How to add a pipeline to 🤗 Transformers?
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- local: testing
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title: Testing
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- local: pr_checks
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title: Checks on a Pull Request
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- local: contributing
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title: How to contribute to transformers?
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- local: add_new_model
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title: How to add a model to 🤗 Transformers?
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- local: add_tensorflow_model
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title: How to convert a 🤗 Transformers model to TensorFlow?
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- local: add_new_pipeline
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title: How to add a pipeline to 🤗 Transformers?
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- local: testing
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title: Testing
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- local: pr_checks
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title: Checks on a Pull Request
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title: Contribute
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- sections:
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- local: philosophy
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title: Philosophy
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