makermods/200ep_blue_cube_orange_box
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How to use makermods/smolvla_200ep_blue_cube_orange_box with LeRobot:
# See https://github.com/huggingface/lerobot?tab=readme-ov-file#installation for more details git clone https://github.com/huggingface/lerobot.git cd lerobot pip install -e .[smolvla]
# Launch finetuning on your dataset python lerobot/scripts/train.py \ --policy.path=makermods/smolvla_200ep_blue_cube_orange_box \ --dataset.repo_id=lerobot/svla_so101_pickplace \ --batch_size=64 \ --steps=20000 \ --output_dir=outputs/train/my_smolvla \ --job_name=my_smolvla_training \ --policy.device=cuda \ --wandb.enable=true
# Run the policy using the record function
python -m lerobot.record \
--robot.type=so101_follower \
--robot.port=/dev/ttyACM0 \ # <- Use your port
--robot.id=my_blue_follower_arm \ # <- Use your robot id
--robot.cameras="{ front: {type: opencv, index_or_path: 8, width: 640, height: 480, fps: 30}}" \ # <- Use your cameras
--dataset.single_task="Grasp a lego block and put it in the bin." \ # <- Use the same task description you used in your dataset recording
--dataset.repo_id=HF_USER/dataset_name \ # <- This will be the dataset name on HF Hub
--dataset.episode_time_s=50 \
--dataset.num_episodes=10 \
--policy.path=makermods/smolvla_200ep_blue_cube_orange_boxSmolVLA fine-tuned from lerobot/smolvla_base on makermods/200ep_blue_cube_orange_box (199 episodes, 55,897 frames @ 30 fps, SO-101 follower, front + wrist cameras).
train_expert_only=true)train_config.jsonTrained with --rename_map='{"observation.images.front": "observation.images.camera1", "observation.images.wrist": "observation.images.camera2"}' — the policy expects camera1 (front) and camera2 (wrist) keys at inference; apply the same rename map when deploying.
Base model
lerobot/smolvla_base