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angkul07
/
mm_SO101_teleop

Robotics
LeRobot
Safetensors
smolvla
so-101
vla
flow-matching
co-training
egocentric
Model card Files Files and versions
xet
Community

Instructions to use angkul07/mm_SO101_teleop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • LeRobot

    How to use angkul07/mm_SO101_teleop 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=angkul07/mm_SO101_teleop \
    --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=angkul07/mm_SO101_teleop
  • Notebooks
  • Google Colab
  • Kaggle
mm_SO101_teleop / eval
36 kB
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  • 1 contributor
History: 1 commit
angkul07's picture
angkul07
configs, val set, eval suite, logs, teleop100 metrics
28d97e5 verified 6 days ago
  • annotations
    configs, val set, eval suite, logs, teleop100 metrics 6 days ago
  • prompts
    configs, val set, eval suite, logs, teleop100 metrics 6 days ago
  • build_manifest.py
    1.85 kB
    configs, val set, eval suite, logs, teleop100 metrics 6 days ago
  • collect_results.py
    3.64 kB
    configs, val set, eval suite, logs, teleop100 metrics 6 days ago
  • eval_all_smolvla.py
    10.8 kB
    configs, val set, eval suite, logs, teleop100 metrics 6 days ago
  • merge_h5.py
    1.97 kB
    configs, val set, eval suite, logs, teleop100 metrics 6 days ago
  • paired_perturbation.py
    2.94 kB
    configs, val set, eval suite, logs, teleop100 metrics 6 days ago
  • run_annotator.sh
    1.58 kB
    configs, val set, eval suite, logs, teleop100 metrics 6 days ago
  • run_evals.sh
    3.34 kB
    configs, val set, eval suite, logs, teleop100 metrics 6 days ago
  • smolvla_policy.py
    4.11 kB
    configs, val set, eval suite, logs, teleop100 metrics 6 days ago