Instructions to use susnato/clvp_dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use susnato/clvp_dev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="susnato/clvp_dev")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("susnato/clvp_dev") model = AutoModel.from_pretrained("susnato/clvp_dev", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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"vocab_size": 8194,
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"feature_size": 80,
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"decoder_fixing_codes": [83, 45, 45, 248]
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}
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"vocab_size": 8194,
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"feature_size": 80,
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"decoder_fixing_codes": [83, 45, 45, 248]
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}
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}
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