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 training_args.bin from Tesslate/Gradience-RL-Math: direct link, hf CLI and curl.
- Browser
- Download file 5.88 kB
-
https://huggingface.co/Tesslate/Gradience-RL-Math/resolve/main/training_args.bin
- Command line
-
hf download hf://Tesslate/Gradience-RL-Math/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Tesslate/Gradience-RL-Math/resolve/main/training_args.bin
5.88 kB
- Xet hash:
- 503475065991c1ba911706d9471db74270090c978f9cdfc73618df8858d78d0b
- Size of remote file:
- 5.88 kB
- SHA256:
- ea911774fd0ed52b2304cfff01e1b863b6211d3d1d0d824ae3d5e16dd5dde500
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