A feature extractor is in charge of preparing input features for a multi-modal model. This includes feature extraction
from sequences, e.g., pre-processing audio files to Log-Mel Spectrogram features, feature extraction from images
e.g. cropping image 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
