--- datasets: - lerobot/aloha_sim_transfer_cube_scripted base_model: - lerobot/pi0 --- LeRobot version of Pi0 fine-tuned for 20k steps on the `lerobot/aloha_sim_transfer_cube_scripted_image` dataset. Usage: ```python policy = PI0Policy.from_pretrained("BrunoM42/pi0_aloha_transfer_cube") action = policy.select_action(batch) ``` Run evaluation: ```python python lerobot/scripts/eval.py --policy.path=BrunoM42/pi0_aloha_transfer_cube --env.type=aloha --env.task=AlohaTransferCube-v0 --env.episode_length=600 --eval.n_episodes=10 --eval.batch_size=10 --seed=42 ```