Instructions to use regulationLee/gemma-3b-it-healthcare with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use regulationLee/gemma-3b-it-healthcare with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("regulationLee/gemma-3b-it-healthcare", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
adapter_config.json
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"rank_pattern": {},
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"target_modules": [
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"rank_pattern": {},
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"revision": null,
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"q_proj",
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"k_proj",
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"o_proj",
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"down_proj",
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"up_proj",
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"gate_proj"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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adapter_model.safetensors
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runs/Apr07_10-58-39_sakakai01/events.out.tfevents.1743991120.sakakai01.675052.0
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oid sha256:79e09447146a5b80f7b013323a9a5649ea7de6d7169751449663e6d64d99f575
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size 8473
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training_args.bin
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size 5624
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