Instructions to use AdilZtn/act_grab_red_cube_main_long with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use AdilZtn/act_grab_red_cube_main_long 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
Commit History
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Migrate policy to PolicyProcessorPipeline system
Verified signature🤖 **Automated Policy Migration to PolicyProcessorPipeline** This PR migrates your model to the new LeRobot policy format using the modern PolicyProcessorPipeline architecture. ## What Changed ### ✨ **New Architecture - PolicyProcessorPipeline** Your model now uses external PolicyProcessorPipeline components for data processing instead of built-in normalization layers. This provides: - **Modularity**: Separate preprocessing and postprocessing pipelines - **Flexibility**: Easy to swap, configure, and debug processing steps - **Compatibility**: Works with the latest LeRobot ecosystem ### 🔧 **Normalization Extraction** We've extracted normalization statistics from your model's state_dict and removed the built-in normalization layers: - **Extracted patterns**: `normalize_inputs.*`, `unnormalize_outputs.*`, `normalize.*`, `unnormalize.*`, `input_normalizer.*`, `output_normalizer.*` - **Statistics preserved**: Mean, std, min, max values for all features - **Clean model**: State dict now…5a7d80d