Instructions to use kyle0101/ur5-smolvla-pick-cube-project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use kyle0101/ur5-smolvla-pick-cube-project 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=kyle0101/ur5-smolvla-pick-cube-project \ --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=kyle0101/ur5-smolvla-pick-cube-project - Notebooks
- Google Colab
- Kaggle
UR5 SmolVLA Pick-Cube
UR5 + Robotiq 85 pick-cube policy trained using SmolVLA.
Code: https://github.com/leesweqq/ur5_vla_pick_cube_project
Model
This repository contains:
- SmolVLA checkpoint
- Training configuration
- Policy preprocessors
Usage
from lerobot.policies.smolvla.modeling_smolvla import SmolVLAPolicy
policy = SmolVLAPolicy.from_pretrained(
"kyle0101/ur5-smolvla-pick-cube-project"
)
Environment
- Python 3.10
- LeRobot 0.4.4
- PyBullet
- SmolVLA
Task
Pick and lift a red cube using a UR5 robot arm with a Robotiq 85 gripper.
license: mit
- Downloads last month
- 62