Instructions to use Prahaladha/math-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prahaladha/math-checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Prahaladha/math-checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download checkpoint-366/optimizer.pt from Prahaladha/math-checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 551 MB
-
https://huggingface.co/Prahaladha/math-checkpoints/resolve/main/checkpoint-366/optimizer.pt
- Command line
-
hf download hf://Prahaladha/math-checkpoints/checkpoint-366/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Prahaladha/math-checkpoints/resolve/main/checkpoint-366/optimizer.pt
551 MB
- Xet hash:
- d2186d93f64212cabedae19ececbda648a1c8f47069c1b3911348e960fe3b93f
- Size of remote file:
- 551 MB
- SHA256:
- ba195fe3937618b96c28d80082f9b06b378a088926876bb977ac04fdda7ff583
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