metadata
datasets:
- villekuosmanen/build_block_tower
- villekuosmanen/dAgger_build_block_tower_1.0.0
- villekuosmanen/dAgger_build_block_tower_1.1.0
- villekuosmanen/dAgger_build_block_tower_1.2.0
- villekuosmanen/dAgger_build_block_tower_1.3.0
- villekuosmanen/dAgger_build_block_tower_1.4.0
- villekuosmanen/fail_build_block_tower_stationary
- villekuosmanen/fail_build_block_tower_autonomous_interaction
library_name: lerobot
license: apache-2.0
model_name: rewact
pipeline_tag: robotics
tags:
- robotics
- lerobot
- rewact
Model Card for rewact
Model type not recognized — please update this template.
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:
Train from scratch
lerobot-train \
--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/.
Evaluate the policy/run inference
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.
Model Details
- License: apache-2.0