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 adapter_model.safetensors from Tesslate/Gradience-RL-Math: direct link, hf CLI and curl.
- Browser
- Download file 479 MB
-
https://huggingface.co/Tesslate/Gradience-RL-Math/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Tesslate/Gradience-RL-Math/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Tesslate/Gradience-RL-Math/resolve/main/adapter_model.safetensors
479 MB
- Xet hash:
- edc8425b8e80cde789ce075e47080fb38e6c633fb73a3928f8bb2694a99931e6
- Size of remote file:
- 479 MB
- SHA256:
- 8c37c35e00eb622cd0e0bfe1121e57c9b77cc8a2d48355c546669ad728b02f56
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