113 GB
41 files
Updated 3 months ago
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| Name | Size | Uploaded | Xet hash |
|---|---|---|---|
| README.md | 1.49 kB xet | a594d3b9 | |
| config.json | 2.46 kB xet | 8e527689 | |
| model.safetensors | 13.4 GB xet | adc3a65f | |
| policy_postprocessor.json | 659 Bytes xet | 835cb028 | |
| policy_postprocessor_step_0_unnormalizer_processor.safetensors | 192 Bytes xet | b8a562cf | |
| policy_preprocessor.json | 1.72 kB xet | 88474205 | |
| policy_preprocessor_step_2_normalizer_processor.safetensors | 384 Bytes xet | 2810482c |
Model Card for pistar06
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
- Total size
- 113 GB
- Files
- 41
- Last updated
- Apr 4
- Pre-warmed CDN
- US EU US EU