Instructions to use roy1109/math_solving_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use roy1109/math_solving_model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2") model = PeftModel.from_pretrained(base_model, "roy1109/math_solving_model") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from roy1109/math_solving_model: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/roy1109/math_solving_model/resolve/e6a9237cd8a09d7d5089d9f2a4c2d1bb4efbb2bc/training_args.bin
- Command line
-
hf download hf://roy1109/math_solving_model@e6a9237cd8a09d7d5089d9f2a4c2d1bb4efbb2bc/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/roy1109/math_solving_model/resolve/e6a9237cd8a09d7d5089d9f2a4c2d1bb4efbb2bc/training_args.bin
5.11 kB
- Xet hash:
- c83a1c56e0a88aa0b808b0688eecf0fae57aa69a0c8cdba5cecf9c33d1f9f995
- Size of remote file:
- 5.11 kB
- SHA256:
- 0a95231ca3109d2188ead5b4d8f42748df24c467384f2243cb087a722993a3fb
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