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:
- a5af82f467113392a553b232e6f8801c524d9ed63bb21c56bd80ca603155558e
- Size of remote file:
- 4.98 kB
- SHA256:
- 82d7c855d06d210edf88a2ed3a0eda7073fbb38a924e24ac1075187126f05cc3
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