Instructions to use pravsels/act_open_lamp_door with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use pravsels/act_open_lamp_door with LeRobot:
- Notebooks
- Google Colab
- Kaggle
act_open_lamp_door
Standard LeRobot ACT trained from scratch on SO101 data.
| Policy | ACT (policy.type=act) |
| Dataset | villekuosmanen/armnetbench_open_lamp_door |
| Task | open_lamp_door |
| Action dim | 12 (bimanual) |
| Cameras | top, left_wrist, right_wrist |
| Training | GCloud A100-80GB (alpha-act-a100-2), batch 16, action horizon 30 |
| Loss @ 10k | 0.164 |
| W&B project | act_open_lamp_door |
| W&B run | do4hnyiv |
Checkpoints
Archived copies:
| Step | Path |
|---|---|
| 010000 | checkpoints/010000/pretrained_model/ |
| 008000 | checkpoints/008000/pretrained_model/ |
The latest step (010000) is also copied to the repository root for direct loading.
Usage
from lerobot.policies.act.modeling_act import ACTPolicy
policy = ACTPolicy.from_pretrained("pravsels/act_open_lamp_door")
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