Instructions to use RoMALab/groot_libero_lora_centralized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use RoMALab/groot_libero_lora_centralized 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_postprocessor.json from RoMALab/groot_libero_lora_centralized: direct link, hf CLI and curl.
- Browser
- Download file 449 Bytes
-
https://huggingface.co/RoMALab/groot_libero_lora_centralized/resolve/main/policy_postprocessor.json
- Command line
-
hf download hf://RoMALab/groot_libero_lora_centralized/policy_postprocessor.json
-
curl -L -o policy_postprocessor.json https://huggingface.co/RoMALab/groot_libero_lora_centralized/resolve/main/policy_postprocessor.json
449 Bytes
| { | |
| "name": "policy_postprocessor", | |
| "steps": [ | |
| { | |
| "registry_name": "groot_action_unpack_unnormalize_v1", | |
| "config": { | |
| "env_action_dim": 7, | |
| "normalize_min_max": true | |
| }, | |
| "state_file": "policy_postprocessor_step_0_groot_action_unpack_unnormalize_v1.safetensors" | |
| }, | |
| { | |
| "registry_name": "device_processor", | |
| "config": { | |
| "device": "cpu", | |
| "float_dtype": null | |
| } | |
| } | |
| ] | |
| } |