Instructions to use BlueMen/Medrx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BlueMen/Medrx with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Phi-4-mini-instruct-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "BlueMen/Medrx") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 359781a2c3be2cd59f2c7eaa93e66f08d51904ad18d8d666263d915dff878388
- Size of remote file:
- 15.5 MB
- SHA256:
- f03ea2905c4756993ab91ac167a2e667123703fc9cc238576d667ea4efce0a3a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.