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 config.json from ksjpswaroop/math_savvy: direct link, hf CLI and curl.
- Browser
- Download file 641 Bytes
-
https://huggingface.co/ksjpswaroop/math_savvy/resolve/main/config.json
- Command line
-
hf download hf://ksjpswaroop/math_savvy/config.json
-
curl -L -o config.json https://huggingface.co/ksjpswaroop/math_savvy/resolve/main/config.json
641 Bytes
- Xet hash:
- 69ded43fa5f85d8c7500f291abdc38110e6fdc9e0073adff5a610155b0c6b82c
- Size of remote file:
- 641 Bytes
- SHA256:
- 0eb9f1529f86cb26ffb82b6f36ea9f3698f17b1c5e42fd57b0ed5d7b76f6ffa2
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