Instructions to use end-effector-trace-conditioning/molmoact2-500ep-eetc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use end-effector-trace-conditioning/molmoact2-500ep-eetc 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 end-effector-trace-conditioning/molmoact2-500ep-eetc: direct link, hf CLI and curl.
- Browser
- Download file 910 Bytes
-
https://huggingface.co/end-effector-trace-conditioning/molmoact2-500ep-eetc/resolve/main/policy_postprocessor.json
- Command line
-
hf download hf://end-effector-trace-conditioning/molmoact2-500ep-eetc/policy_postprocessor.json
-
curl -L -o policy_postprocessor.json https://huggingface.co/end-effector-trace-conditioning/molmoact2-500ep-eetc/resolve/main/policy_postprocessor.json
910 Bytes
| { | |
| "name": "policy_postprocessor", | |
| "steps": [ | |
| { | |
| "registry_name": "molmoact2_clamp_action", | |
| "config": {} | |
| }, | |
| { | |
| "registry_name": "molmoact2_masked_unnormalizer", | |
| "config": { | |
| "eps": 1e-08, | |
| "features": { | |
| "action": { | |
| "type": "ACTION", | |
| "shape": [ | |
| 6 | |
| ] | |
| } | |
| }, | |
| "norm_map": { | |
| "ACTION": "MIN_MAX", | |
| "STATE": "MIN_MAX", | |
| "VISUAL": "IDENTITY" | |
| } | |
| }, | |
| "state_file": "policy_postprocessor_step_1_molmoact2_masked_unnormalizer.safetensors" | |
| }, | |
| { | |
| "registry_name": "molmoact2_action_frame_transform", | |
| "config": { | |
| "joint_signs": null, | |
| "joint_offsets": null | |
| } | |
| }, | |
| { | |
| "registry_name": "device_processor", | |
| "config": { | |
| "device": "cpu", | |
| "float_dtype": null | |
| } | |
| } | |
| ] | |
| } |