| 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 |