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transformers/docs/source/en/main_classes/feature_extractor.md

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Feature Extractor

A feature extractor is in charge of preparing input features for audio or vision models. This includes feature extraction from sequences, e.g., pre-processing audio files to generate Log-Mel Spectrogram features, feature extraction from images, e.g., cropping image files, but also padding, normalization, and conversion to NumPy, PyTorch, and TensorFlow tensors.

FeatureExtractionMixin

autodoc feature_extraction_utils.FeatureExtractionMixin - from_pretrained - save_pretrained

SequenceFeatureExtractor

autodoc SequenceFeatureExtractor - pad

BatchFeature

autodoc BatchFeature

ImageFeatureExtractionMixin

autodoc image_utils.ImageFeatureExtractionMixin