Instructions to use kunjcr2/math-adaptroute-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kunjcr2/math-adaptroute-v4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kunjcr2/math-adaptroute-v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from kunjcr2/math-adaptroute-v4: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/kunjcr2/math-adaptroute-v4/resolve/main/tokenizer.json
- Command line
-
hf download hf://kunjcr2/math-adaptroute-v4/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/kunjcr2/math-adaptroute-v4/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- 58610ae638246a0472954d06e2f72e6765c428871abadff88fb09c675cd9bed0
- Size of remote file:
- 33.4 MB
- SHA256:
- a74aefb1dc1340a25f29ab8370384b9ed24b2d921d7749ece7bbcfcfdf00d497
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