Instructions to use almostparadox/R1-Math with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use almostparadox/R1-Math with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("almostparadox/R1-Math", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b37f1742d7f6e7a5f443d8cb31bb378ae5ac64836c2a30a7df0fff8d8d6e6d3
- Size of remote file:
- 32.5 MB
- SHA256:
- 67d04dede72cf06f3a8057ba7721404a474b02244c744c38d7eb15c91e56a431
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.