Instructions to use QYyyyyyyy/P4_3_FORMAL6_SO101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use QYyyyyyyy/P4_3_FORMAL6_SO101 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
P4.3 formal6 SO101: four real-robot candidates
L1: Legacy P1 seed1 80k. F3: Fixed raw-Top P1 seed3 80k. A1: Original ACT seed1 80k. L1_160K: continued Legacy P1 seed1 160k.
See Chinese test guide for four separate commands. Includes losslessly exported inference weights, Train90 statistics and prototypes, DINO/ResNet offline cache, and matching runtime source snapshot. Training optimizer states remain on the training server and are not needed here. No dataset video or robot calibration is included; retain your own matching nn calibration.
Offline wrapper checks are not real-robot validation. Dev15 uses teacher-forced observations. The original 36-trial block is retained, with a separate user-authorized 12-trial 160k supplement. No real robot has been operated by this preparation task.