Instructions to use HanningZhang/MetaMath-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HanningZhang/MetaMath-2b with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HanningZhang/MetaMath-2b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from HanningZhang/MetaMath-2b: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/HanningZhang/MetaMath-2b/resolve/bec4661d44afa72ba7f26a940ef71663cce31e18/tokenizer.json
- Command line
-
hf download hf://HanningZhang/MetaMath-2b@bec4661d44afa72ba7f26a940ef71663cce31e18/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/HanningZhang/MetaMath-2b/resolve/bec4661d44afa72ba7f26a940ef71663cce31e18/tokenizer.json
17.5 MB
- Xet hash:
- c6bc260a46e7cb48846d68f84c2d62eac42552a6ea72e932071e51f8fdae5cab
- Size of remote file:
- 17.5 MB
- SHA256:
- 36827d0e8282c6dfe284c3a59cae2b855cf498397ce22e8fd2559e5a14acb882
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