Instructions to use Tesslate/Gradience-RL-Math with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tesslate/Gradience-RL-Math with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tesslate/Gradience-RL-Math", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download last-checkpoint/rng_state.pth from Tesslate/Gradience-RL-Math: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/Tesslate/Gradience-RL-Math/resolve/main/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://Tesslate/Gradience-RL-Math/last-checkpoint/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/Tesslate/Gradience-RL-Math/resolve/main/last-checkpoint/rng_state.pth
14.2 kB
- Xet hash:
- 1f9541df04c3d604da1f408092021efa40527242f11fbc414d903b2dc877f6bf
- Size of remote file:
- 14.2 kB
- SHA256:
- 29b733effdd263f1c99f30501e8065e8a9c7d82a36e02aee31e8047b2708ee85
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