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39 lines
1.3 KiB
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39 lines
1.3 KiB
Plaintext
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
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an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
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specific language governing permissions and limitations under the License.
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# Feature Extractor
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A feature extractor is in charge of preparing input features for a multi-modal model. This includes feature extraction
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from sequences, *e.g.*, pre-processing audio files to Log-Mel Spectrogram features, feature extraction from images
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*e.g.* cropping image image files, but also padding, normalization, and conversion to Numpy, PyTorch, and TensorFlow
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tensors.
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## FeatureExtractionMixin
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[[autodoc]] feature_extraction_utils.FeatureExtractionMixin
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- from_pretrained
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- save_pretrained
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## SequenceFeatureExtractor
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[[autodoc]] SequenceFeatureExtractor
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- pad
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## BatchFeature
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[[autodoc]] BatchFeature
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## ImageFeatureExtractionMixin
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[[autodoc]] image_utils.ImageFeatureExtractionMixin
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