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/FullQuery/StateRawActionRaw/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/FullQuery/StateRawActionRaw/training_args.bin
- Command line
-
hf download hf://Whalswp/groot_libero/H_Reader/FullQuery/StateRawActionRaw/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Whalswp/groot_libero/resolve/main/H_Reader/FullQuery/StateRawActionRaw/training_args.bin
5.5 kB
- Xet hash:
- d64ed29315a59ddf8afa2f8c83dde193f139f02c1c151cbad1535ebade07f480
- Size of remote file:
- 5.5 kB
- SHA256:
- 5e56f69bc6d30eebc71e281b27a0e07ab9e96f1e1fd4b8da48763d47f8493b5c
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