Instructions to use UW-Madison-Lee-Lab/VersaPRM-Aug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use UW-Madison-Lee-Lab/VersaPRM-Aug 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-Aug") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from UW-Madison-Lee-Lab/VersaPRM-Aug: direct link, hf CLI and curl.
- Browser
- Download file 6.46 kB
-
https://huggingface.co/UW-Madison-Lee-Lab/VersaPRM-Aug/resolve/main/training_args.bin
- Command line
-
hf download hf://UW-Madison-Lee-Lab/VersaPRM-Aug/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/UW-Madison-Lee-Lab/VersaPRM-Aug/resolve/main/training_args.bin
6.46 kB
- Xet hash:
- 058d0360a1648ec4a0c8577d8b6c91b4dc18102896e4451ffc05bd431b300759
- Size of remote file:
- 6.46 kB
- SHA256:
- 9260a39da84b4734106b242946dcf74eadf0224bcf3f7aa70f8f5cd98bd2658c
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