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jadechoghari/None
None is a robotics model from jadechoghari. 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.
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Downloads · 30 days
5
15% of all-time downloads
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.safetensors7.5 GB · 100%
How the weights are stored.
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From the Hugging Face model README
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This policy has been trained and pushed to the Hub using LeRobot. See the full documentation at LeRobot Docs.
For a complete walkthrough, see the training guide. Below is the short version on how to train and run inference/eval:
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/.
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.