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 tokenizer_config.json from ksjpswaroop/math_savvy: direct link, hf CLI and curl.
- Browser
- Download file 967 Bytes
-
https://huggingface.co/ksjpswaroop/math_savvy/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://ksjpswaroop/math_savvy/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/ksjpswaroop/math_savvy/resolve/main/tokenizer_config.json
967 Bytes
- Xet hash:
- 7d2923dbfbe5218d421c0f1cac1725e7331901d8f8a2e20ed92e5fed1ab998e9
- Size of remote file:
- 967 Bytes
- SHA256:
- 747ec99bae3fd9d7bf9c3b9172e5ca0d82ca0d23d64a58ef1752b612f196817b
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