Instructions to use kming/wav2vec2-base-superb-sv-finetuned-ami-ten-percent-train-new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kming/wav2vec2-base-superb-sv-finetuned-ami-ten-percent-train-new with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioXVector processor = AutoProcessor.from_pretrained("kming/wav2vec2-base-superb-sv-finetuned-ami-ten-percent-train-new") model = AutoModelForAudioXVector.from_pretrained("kming/wav2vec2-base-superb-sv-finetuned-ami-ten-percent-train-new") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- preprocessor_config.json +1 -1
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
preprocessor_config.json
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{
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"do_normalize":
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"feature_extractor_type": "Wav2Vec2FeatureExtractor",
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"feature_size": 1,
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"padding_side": "right",
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{
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"do_normalize": true,
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"feature_extractor_type": "Wav2Vec2FeatureExtractor",
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"feature_size": 1,
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"padding_side": "right",
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pytorch_model.bin
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:12a321e5786f5198becd9616e6af7795b318cc73de2ae3f4903b1b50b47aa80f
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size 4091
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