Instructions to use Maxva/mathpaper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Maxva/mathpaper with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "Maxva/mathpaper") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Maxva/mathpaper: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/Maxva/mathpaper/resolve/main/training_args.bin
- Command line
-
hf download hf://Maxva/mathpaper/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Maxva/mathpaper/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 9d1618b518616a5f718950670b2d656aca589745d0cb46011edeaf6784515deb
- Size of remote file:
- 5.18 kB
- SHA256:
- 4472848b7c9a2343b70eafb10b6116b3060a32958eb5cdd334369ee83aaff777
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