Instructions to use avyuktsachdeva/trial_move_peg_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_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_wrist_unity_data_converted: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/avyuktsachdeva/trial_move_peg_wrist_unity_data_converted/resolve/main/model.safetensors
- Command line
-
hf download hf://avyuktsachdeva/trial_move_peg_wrist_unity_data_converted/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/avyuktsachdeva/trial_move_peg_wrist_unity_data_converted/resolve/main/model.safetensors
304 MB
- Xet hash:
- b87b5ccb4d8da31a6ec905017df09427cb3061e4d91ab2fc0eba5be93f9a5c16
- Size of remote file:
- 304 MB
- SHA256:
- 882cf95fb36ab95aff0f5f224f33c4d9248142286e221a712a8fc22a3d81dfff
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.