Instructions to use Cache-SCA/Gr00t_BaseCaP_Sim_pull_cube_100ep_vision_encoder_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use Cache-SCA/Gr00t_BaseCaP_Sim_pull_cube_100ep_vision_encoder_final with LeRobot:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Cache-SCA/Gr00t_BaseCaP_Sim_pull_cube_100ep_vision_encoder_final: direct link, hf CLI and curl.
- Browser
- Download file 5.45 GB
-
https://huggingface.co/Cache-SCA/Gr00t_BaseCaP_Sim_pull_cube_100ep_vision_encoder_final/resolve/main/model.safetensors
- Command line
-
hf download hf://Cache-SCA/Gr00t_BaseCaP_Sim_pull_cube_100ep_vision_encoder_final/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Cache-SCA/Gr00t_BaseCaP_Sim_pull_cube_100ep_vision_encoder_final/resolve/main/model.safetensors
5.45 GB
- Xet hash:
- 647000afc77a646173c433bc7a67f9077927502dbf74cf0d23d38fabbb4480a4
- Size of remote file:
- 5.45 GB
- SHA256:
- 71af3caa2393501d4e29cf3023bb9d173d385133fefcff18dbbf1285e578729f
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