Instructions to use UW-Madison-Lee-Lab/VersaPRM-Base-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use UW-Madison-Lee-Lab/VersaPRM-Base-8B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "UW-Madison-Lee-Lab/VersaPRM-Base-8B") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from UW-Madison-Lee-Lab/VersaPRM-Base-8B: direct link, hf CLI and curl.
- Browser
- Download file 6.46 kB
-
https://huggingface.co/UW-Madison-Lee-Lab/VersaPRM-Base-8B/resolve/main/training_args.bin
- Command line
-
hf download hf://UW-Madison-Lee-Lab/VersaPRM-Base-8B/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/UW-Madison-Lee-Lab/VersaPRM-Base-8B/resolve/main/training_args.bin
6.46 kB
- Xet hash:
- 99a0bd59a539851f58a3451301fd4560cd4e75cbaa1b93cb14a86d9b776afa67
- Size of remote file:
- 6.46 kB
- SHA256:
- ea2f96dc5615935b6350a25cef8a628f4d3d66a0319a6d9d222fcca89509499f
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