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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HanningZhang/MetaMath-2b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fca16fd6e7fd24d193fcce8dc5ca53be94dff4dc8eb987a8529491a23ad96c33
- Size of remote file:
- 704 Bytes
- SHA256:
- 728dcc8d5f6d319b63f62e2bd9e23cedca2a39911f9a64c29ae83c02c4d4c9f5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.