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
Download rng_state.pth from HiTZ/Mistral-7B-MedExpQA-EN: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/HiTZ/Mistral-7B-MedExpQA-EN/resolve/main/rng_state.pth
- Command line
-
hf download hf://HiTZ/Mistral-7B-MedExpQA-EN/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/HiTZ/Mistral-7B-MedExpQA-EN/resolve/main/rng_state.pth
14.2 kB
- Xet hash:
- 2bd5e28e79e33392b23077c5d0d42ab338888248315c9b01e4b3d9dad7100a54
- Size of remote file:
- 14.2 kB
- SHA256:
- 0c14a4ae7ee0152d8a0f491146236125724084b6800f88df85d93b510b532730
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