Instructions to use stevenzenith/act_carton_phase_c_50k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use stevenzenith/act_carton_phase_c_50k 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
act_carton_phase_c_50k
ACT policy, 50,000 steps, from the Phase-C augmented holdout run
act_phase_c_aug_holdout_20260824_150345. Carries its own train_config.json,
so the dataset and hyperparameters it was trained with are recoverable from the
checkpoint itself.
Published because it is the base that
act_carton_middle_labels_5k
was fine-tuned from — without it that fine-tune cannot be reproduced or
explained. The 80k checkpoint from the same family is
act_carton_phase_c_80k.
Code, deployment wrappers and gate status: steven-tired/mediapipe-so101.
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