Instructions to use facebook/hubert-base-ls960 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/hubert-base-ls960 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/hubert-base-ls960")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("facebook/hubert-base-ls960") model = AutoModel.from_pretrained("facebook/hubert-base-ls960") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 790df31
Update config.json
Browse files- config.json +0 -1
config.json
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"pad_token_id": 0,
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"transformers_version": "4.10.0.dev0",
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"vocab_size": 32,
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"feature_extractor_type": "Wav2Vec2FeatureExtractor",
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"tokenizer_class": "Wav2Vec2CTCTokenizer"
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}
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"pad_token_id": 0,
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"transformers_version": "4.10.0.dev0",
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"vocab_size": 32,
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"tokenizer_class": "Wav2Vec2CTCTokenizer"
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}
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