Model Card for mobile_so100_test_100000
This policy has been trained and pushed to the Hub using LeRobot. See the full documentation at LeRobot Docs.
How to Get Started with the Model
For a complete walkthrough, see the training guide. Below is the short version on how to train and run inference/eval:
1 Train from scratch
python lerobot/scripts/train.py --dataset.repo_id=${HF_USER}/<dataset> --policy.type=act --output_dir=outputs/train/<desired_policy_repo_id> --job_name=lerobot_training --policy.device=cuda --policy.repo_id=${HF_USER}/<desired_policy_repo_id>
--wandb.enable=true
Writes checkpoints to outputs/train/<desired_policy_repo_id>/checkpoints/.
2 Evaluate the policy
python -m lerobot.record --robot.type=so100_follower --dataset.repo_id=<hf_user>/eval_<dataset> --policy.path=<hf_user>/<desired_policy_repo_id> --episodes=10
Prefix the dataset repo with eval_ and supply --policy.path pointing to a local or hub checkpoint.
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