Instructions to use KHandsome/taskone-raw-act with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use KHandsome/taskone-raw-act 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_3_normalizer_processor.safetensors from KHandsome/taskone-raw-act: direct link, hf CLI and curl.
- Browser
- Download file 8.94 kB
-
https://huggingface.co/KHandsome/taskone-raw-act/resolve/main/policy_preprocessor_step_3_normalizer_processor.safetensors
- Command line
-
hf download hf://KHandsome/taskone-raw-act/policy_preprocessor_step_3_normalizer_processor.safetensors
-
curl -L -o policy_preprocessor_step_3_normalizer_processor.safetensors https://huggingface.co/KHandsome/taskone-raw-act/resolve/main/policy_preprocessor_step_3_normalizer_processor.safetensors
8.94 kB
- Xet hash:
- 0837e95256899f480c30d912e69c5a1bbc0cfc990d8e507ce35ae101f65ba19a
- Size of remote file:
- 8.94 kB
- SHA256:
- e052efe94d90c27122444dbc5005cbcfa339ce3436bc1572ef734328578aeed3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.