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/ActionOnlyRelativeLinearSO3/training_args.bin from Whalswp/groot_libero: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/Whalswp/groot_libero/resolve/main/H_Reader/ActionOnlyRelativeLinearSO3/training_args.bin
- Command line
-
hf download hf://Whalswp/groot_libero/H_Reader/ActionOnlyRelativeLinearSO3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Whalswp/groot_libero/resolve/main/H_Reader/ActionOnlyRelativeLinearSO3/training_args.bin
5.5 kB
- Xet hash:
- 0df3355a414a30ca03eabb02e1c45f0dda6015276e60745cd5bd6a68569c1a64
- Size of remote file:
- 5.5 kB
- SHA256:
- 4471c1ee13a5fb20d9ce87d6e7a8540c19535396b2af37b520d3272132fd9361
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