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/optimizer.pt from Tesslate/Gradience-RL-Math: direct link, hf CLI and curl.
- Browser
- Download file 958 MB
-
https://huggingface.co/Tesslate/Gradience-RL-Math/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://Tesslate/Gradience-RL-Math/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Tesslate/Gradience-RL-Math/resolve/main/last-checkpoint/optimizer.pt
958 MB
- Xet hash:
- dfa5997ca6e09a78f96f3bb3cd38a859812f8929b18e1655d24dd4c7d7e5e36a
- Size of remote file:
- 958 MB
- SHA256:
- 835caff7a5bbf86c1e931079bc2943c5e18fe31ac9fb1183d4e3c474ccccdcec
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