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/scheduler.pt from Tesslate/Gradience-RL-Math: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/Tesslate/Gradience-RL-Math/resolve/main/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://Tesslate/Gradience-RL-Math/last-checkpoint/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/Tesslate/Gradience-RL-Math/resolve/main/last-checkpoint/scheduler.pt
1.06 kB
- Xet hash:
- c8a2b8e6d89d24ad7882a2098f55b28b1d556a488672ed378b5f682b3a51efe8
- Size of remote file:
- 1.06 kB
- SHA256:
- 1c8ef19948d2381a72cd6dc3ca7341569a3c02b8230a447126546d1241bf266f
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