Instructions to use Saib/llama-3-8b-ClinicalSum_CoT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Saib/llama-3-8b-ClinicalSum_CoT with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Saib/llama-3-8b-ClinicalSum_CoT", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f108bb0ebc573187336493c1ddc829b163d2cec66ed7077dd349ff76c58161f5
- Size of remote file:
- 2.81 GB
- SHA256:
- bb07b83ba1d1c597ae2b122a3c353e0acd7f647a600eee86b2532b1d8bcb3b1a
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