Instructions to use UW-Madison-Lee-Lab/VersaPRM-Small-Subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use UW-Madison-Lee-Lab/VersaPRM-Small-Subset 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-Small-Subset") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from UW-Madison-Lee-Lab/VersaPRM-Small-Subset: direct link, hf CLI and curl.
- Browser
- Download file 6.46 kB
-
https://huggingface.co/UW-Madison-Lee-Lab/VersaPRM-Small-Subset/resolve/main/training_args.bin
- Command line
-
hf download hf://UW-Madison-Lee-Lab/VersaPRM-Small-Subset/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/UW-Madison-Lee-Lab/VersaPRM-Small-Subset/resolve/main/training_args.bin
6.46 kB
- Xet hash:
- 5169cffddbc490aa306fdc90239e22740949b7a0b3e463c860b2660ae71f9c17
- Size of remote file:
- 6.46 kB
- SHA256:
- 3d327a72a45f7e6af534edf400f23cac46b01d75bd8440859697c2409fa730f6
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