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nvkartik/
groot-n17-libero_object-full-dit-success-object-bs64-lr5e5-50k-mg2-bs64-50000

Name: groot-n17-libero_object-full-dit-success-object-bs64-lr5e5-50k-mg2-bs64-50000
Availability: InStock

HuggingFaceVLA/libero

apache-2.0

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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

bash

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