Instructions to use Daewon0808/VersaPRM_filtered with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Daewon0808/VersaPRM_filtered with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Daewon0808/prm800k_llama_fulltune") model = PeftModel.from_pretrained(base_model, "Daewon0808/VersaPRM_filtered") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Daewon0808/VersaPRM_filtered: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/Daewon0808/VersaPRM_filtered/resolve/main/training_args.bin
- Command line
-
hf download hf://Daewon0808/VersaPRM_filtered/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Daewon0808/VersaPRM_filtered/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 080756de247e7b5c746e7184529e19b53c6f6c53e16b24db129972f00bb88898
- Size of remote file:
- 5.24 kB
- SHA256:
- 5ab8a9e31d199927ecbdc6e6b67fb9ba4cecbb8b60b09ea09100f1986b7dd11b
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