Instructions to use HiTZ/Mistral-7B-MedExpQA-EN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HiTZ/Mistral-7B-MedExpQA-EN with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "HiTZ/Mistral-7B-MedExpQA-EN") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 695a4a4d9e61e6fe960cba8ff7d212a60a7f9b30d439722f8fc7f4f653bc185c
- Size of remote file:
- 168 MB
- SHA256:
- 422de47b5306d6f6a0c7c5f2eb657ac7c6f8609a2ddd327d4486b371fc546d40
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