Instructions to use CodCodingCode/llama-medical-diagnosis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CodCodingCode/llama-medical-diagnosis with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("aaditya/Llama3-OpenBioLLM-8B") model = PeftModel.from_pretrained(base_model, "CodCodingCode/llama-medical-diagnosis") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dad1c349da2e0ccf66e4d8bd2ce21d6f77a3ec399bb6ac57fa69f2b68d6f4748
- Size of remote file:
- 109 MB
- SHA256:
- 15b488f994fc038e9d8f69ab5fa93a696af0edba06b15973c042fd22092c75d9
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