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* push to show * small improvement * small improvement * Update src/transformers/feature_extraction_utils.py * Update src/transformers/feature_extraction_utils.py * implement base * add common tests * make all tests pass for wav2vec2 * make padding work & add more tests * finalize feature extractor utils * add call method to feature extraction * finalize feature processor * finish tokenizer * finish general processor design * finish tests * typo * remove bogus file * finish docstring * add docs * finish docs * small fix * correct docs * save intermediate * load changes * apply changes * apply changes to doc * change tests * apply surajs recommend * final changes * Apply suggestions from code review * fix typo * fix import * correct docstring
34 lines
1.5 KiB
ReStructuredText
34 lines
1.5 KiB
ReStructuredText
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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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-----------------------------------------------------------------------------------------------------------------------
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A feature extractor is in charge of preparing read-in audio files for a speech model. This includes feature extraction,
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such as processing audio files to, *e.g.*, Log-Mel Spectrogram features, but also padding, normalization, and
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conversion to Numpy, PyTorch, and TensorFlow tensors.
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PreTrainedFeatureExtractor
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.PreTrainedFeatureExtractor
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:members: from_pretrained, save_pretrained, pad
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BatchFeature
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.BatchFeature
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:members:
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