Instructions to use avyuktsachdeva/trial_move_peg_static_wrist_unity_data_converted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use avyuktsachdeva/trial_move_peg_static_wrist_unity_data_converted 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 avyuktsachdeva/trial_move_peg_static_wrist_unity_data_converted: direct link, hf CLI and curl.
- Browser
- Download file 357 MB
-
https://huggingface.co/avyuktsachdeva/trial_move_peg_static_wrist_unity_data_converted/resolve/main/model.safetensors
- Command line
-
hf download hf://avyuktsachdeva/trial_move_peg_static_wrist_unity_data_converted/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/avyuktsachdeva/trial_move_peg_static_wrist_unity_data_converted/resolve/main/model.safetensors
357 MB
- Xet hash:
- 4baf19a6978a75149ce2ef24cd1405371d897236426f62868084ba24f5d677af
- Size of remote file:
- 357 MB
- SHA256:
- b82a1ee3f23c4bef0247ac24af899cdbbf1071a251307a57ddb5df89c5be969d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.