Instructions to use pravsels/act_tool_insert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use pravsels/act_tool_insert with LeRobot:
- Notebooks
- Google Colab
- Kaggle
act_tool_insert
Standard LeRobot ACT trained from scratch on SO101 data.
| Policy | ACT (policy.type=act) |
| Dataset | villekuosmanen/armnetbench_tool_insert |
| Task | tool_insert |
| Action dim | 6 (single-arm) |
| Cameras | top, wrist, front |
| Training | GCloud A100-80GB (alpha-act-a100-4), batch 16, action horizon 30 |
| Loss @ 10k | 0.169 |
| W&B project | act_tool_insert |
| W&B run | c6sk4w3m |
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_tool_insert")
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