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")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("susnato/clvp_dev") model = AutoModel.from_pretrained("susnato/clvp_dev") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -0
config.json
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"n_embd": 1024,
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"n_head": 16,
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"n_layer": 30,
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"max_mel_tokens": 608,
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"max_text_tokens": 404,
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"resid_pdrop": 0.1,
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"n_embd": 1024,
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"n_head": 16,
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"n_layer": 30,
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"num_mel_attn_blocks": 6,
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"max_mel_tokens": 608,
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"max_text_tokens": 404,
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"resid_pdrop": 0.1,
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