Instructions to use UW-Madison-Lee-Lab/VersaPRM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use UW-Madison-Lee-Lab/VersaPRM with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("UW-Madison-Lee-Lab/Llama-PRM800K") model = PeftModel.from_pretrained(base_model, "UW-Madison-Lee-Lab/VersaPRM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9da299f4319c1f2c2057284166a4f7bd22306ebf54d2a61892df291ad422378b
- Size of remote file:
- 6.46 kB
- SHA256:
- 8ba61f3813eddf43a7812f9fe7e79d1dda65812c3a2a2090a017855325d18607
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.