Instructions to use rchowdhub/False with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use rchowdhub/False 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 policy_preprocessor_step_2_normalizer_processor.safetensors from rchowdhub/False: direct link, hf CLI and curl.
- Browser
- Download file 11.5 kB
-
https://huggingface.co/rchowdhub/False/resolve/main/policy_preprocessor_step_2_normalizer_processor.safetensors
- Command line
-
hf download hf://rchowdhub/False/policy_preprocessor_step_2_normalizer_processor.safetensors
-
curl -L -o policy_preprocessor_step_2_normalizer_processor.safetensors https://huggingface.co/rchowdhub/False/resolve/main/policy_preprocessor_step_2_normalizer_processor.safetensors
11.5 kB
- Xet hash:
- 3f1eef2afde2cdbc6280ca8a4fd3fe2cee3e748b6079542789387e131033c7aa
- Size of remote file:
- 11.5 kB
- SHA256:
- 7fe327a656c274b1dfacfaa57de6c1f89e76c3011a66e0a80c2b49f4c5e8b868
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.