Instructions to use xiaodongguaAIGC/xdg-math-prm-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use xiaodongguaAIGC/xdg-math-prm-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("xiaodongguaAIGC/xdg-math-step") model = PeftModel.from_pretrained(base_model, "xiaodongguaAIGC/xdg-math-prm-lora") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from xiaodongguaAIGC/xdg-math-prm-lora: direct link, hf CLI and curl.
- Browser
- Download file 6.71 kB
-
https://huggingface.co/xiaodongguaAIGC/xdg-math-prm-lora/resolve/main/training_args.bin
- Command line
-
hf download hf://xiaodongguaAIGC/xdg-math-prm-lora/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/xiaodongguaAIGC/xdg-math-prm-lora/resolve/main/training_args.bin
6.71 kB
- Xet hash:
- 23c4dbd6ba1ab87a4a297dcd74acd99a4ebd7775cc45db984f0864a882a452b4
- Size of remote file:
- 6.71 kB
- SHA256:
- 017824ba0f3e2a23e2b5bdcd37a2892b9968bbc44e5524973ec99fd0cefd42e5
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