Instructions to use Whalswp/groot_libero with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Whalswp/groot_libero with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Whalswp/groot_libero", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download H_Reader/StateOnlyBalancedSO3/training_args.bin from Whalswp/groot_libero: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/Whalswp/groot_libero/resolve/main/H_Reader/StateOnlyBalancedSO3/training_args.bin
- Command line
-
hf download hf://Whalswp/groot_libero/H_Reader/StateOnlyBalancedSO3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Whalswp/groot_libero/resolve/main/H_Reader/StateOnlyBalancedSO3/training_args.bin
5.43 kB
- Xet hash:
- 83c84d8d079f2f1063915faa95c44ad9e051fb6daa8a1d09ddabc6cb39b111f0
- Size of remote file:
- 5.43 kB
- SHA256:
- d826653ef8c6224d9088cd238d4f2466e45b72e65cf098c52b5a308cb70e357b
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