Instructions to use binomialdist/lerobot-pi05-train-20260509 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use binomialdist/lerobot-pi05-train-20260509 with LeRobot:
- Notebooks
- Google Colab
- Kaggle
ALOHA pi0.5 trained checkpoint
This repository contains a pi0.5 / LeRobot policy checkpoint trained for an ALOHA dual-arm manipulation assignment.
Contents
model.safetensors: trained policy weightsconfig.json: policy configurationtrain_config.json: training configurationpolicy_preprocessor.jsonand processor weightspolicy_postprocessor.jsonand processor weights
Training summary
- Training run:
outputs/train_20260509_025424 - Final checkpoint: step 20000
- Dataset:
binomialdist/lerobot-aloha-dataset - State/action dimension: 14
- Cameras:
cam_high,cam_left_wrist,cam_right_wrist - Action chunk size: 50
Source note
This checkpoint is provided for course verification. See the accompanying project README/report for environment setup, inference server usage, and experiment analysis.
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