Instructions to use nmitchko/medfalcon-40b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nmitchko/medfalcon-40b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-40b-instruct") model = PeftModel.from_pretrained(base_model, "nmitchko/medfalcon-40b-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f550ce1d4c97b3c888e333d22c47dfe9485817cafe741cb8d82fbfa4c9e8b45
- Size of remote file:
- 889 MB
- SHA256:
- a2ba573ede1d50952bb15d0a06118c439515eafcf03f0b1fe592ce88464ca108
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