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 generation_config.json
Browse files- generation_config.json +0 -1
generation_config.json
CHANGED
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@@ -2,7 +2,6 @@
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"bos_token_id": 8192,
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"eos_token_id": 8193,
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"do_sample": true,
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"num_return_sequences": 8,
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"max_new_tokens": 256,
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"return_dict_in_generate": true
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}
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"bos_token_id": 8192,
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"eos_token_id": 8193,
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"do_sample": true,
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"max_new_tokens": 256,
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"return_dict_in_generate": true
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}
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