phawitbinabik / act_DS1_1B1O_FF_rand40_bbox

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 0
30-day runs: 1
Model's Last Updated: June 29 2026
robotics

Introduction of act_DS1_1B1O_FF_rand40_bbox

Model Details of act_DS1_1B1O_FF_rand40_bbox

Model Card for act

Action Chunking with Transformers (ACT) is an imitation-learning method that predicts short action chunks instead of single steps. It learns from teleoperated data and often achieves high success rates.

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

Runs of phawitbinabik act_DS1_1B1O_FF_rand40_bbox on huggingface.co

5
Total runs
0
24-hour runs
1
3-day runs
0
7-day runs
1
30-day runs

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