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IDM_so100
seonghyeonye/IDM_so100
IDM_so100 is a robotics model from seonghyeonye. Use it for the robotics task on the model card, and read the license before you ship it in a product. It is set up for lerobot. The card lists the license as apache-2.0.
This policy has been trained and pushed to the Hub using LeRobot. See the full documentation at LeRobot Docs.
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At a glance
- Task
- Robotics
- Library
- lerobot
- License
- apache-2.0
- Model type
- dual_brain
- Access
- Public
- Created
- May 15, 2025
- Updated
- Jun 25, 2025
- SHA
- c94b2066
Model card
From the Hugging Face model README
Model Card for IDM_so100
<!-- Provide a quick summary of what the model is/does. -->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
python lerobot/scripts/train.py \
--dataset.repo_id=<user_or_org>/<dataset> \
--policy.type=act \
--output_dir=outputs/train/<desired_policy_repo_id> \
--job_name=lerobot_training \
--policy.device=cuda \
--policy.repo_id=<user_or_org>/<desired_policy_repo_id> \
--wandb.enable=true
Writes checkpoints to outputs/train/<desired_policy_repo_id>/checkpoints/.
Evaluate the policy
python -m lerobot.record \
--robot.type=so100_follower \
--dataset.repo_id=<user_or_org>/eval_<dataset> \
--policy.path=<user_or_org>/<desired_policy_repo_id> \
--episodes=10
Prefix the dataset repo with eval_ and supply --policy.path pointing to a local or hub checkpoint.
- Task
- Robotics
- Library
- lerobot
- Type
- dual_brain
- License
- apache-2.0
- Created
- May 15, 2025
- Updated
- Jun 25, 2025