Instructions to use ksjpswaroop/math_savvy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ksjpswaroop/math_savvy with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ksjpswaroop/math_savvy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download README.md from ksjpswaroop/math_savvy: direct link, hf CLI and curl.
- Browser
- Download file 1.38 kB
-
https://huggingface.co/ksjpswaroop/math_savvy/resolve/main/README.md
- Command line
-
hf download hf://ksjpswaroop/math_savvy/README.md
-
curl -L -o README.md https://huggingface.co/ksjpswaroop/math_savvy/resolve/main/README.md
1.38 kB
- Xet hash:
- 2fe61ca6189b4f30da4f0200827a490e0a4aaf07e1ddac23f4c4abce178e3b7d
- Size of remote file:
- 1.38 kB
- SHA256:
- 9a94b60594116c06cf63fd465980f2470ebee18b11b884473ab8dc693b2dbaff
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