Instructions to use CodCodingCode/llama-clinical-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodCodingCode/llama-clinical-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CodCodingCode/llama-clinical-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from CodCodingCode/llama-clinical-lora: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/CodCodingCode/llama-clinical-lora/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://CodCodingCode/llama-clinical-lora/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/CodCodingCode/llama-clinical-lora/resolve/main/adapter_model.safetensors
168 MB
- Xet hash:
- 34897cc625a1423a32fd40797691281fe3bfdd4b493e92be6083c0f2139f6495
- Size of remote file:
- 168 MB
- SHA256:
- f551276ae1a5b3b6dee019c25d5fb91ee04afd8434e56940fc702a2a0a30af99
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