Instructions to use pravsels/act_block_stack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use pravsels/act_block_stack with LeRobot:
- Notebooks
- Google Colab
- Kaggle
| library_name: lerobot | |
| tags: | |
| - act | |
| - robotics | |
| - lerobot | |
| # act_block_stack | |
| Standard LeRobot ACT trained from scratch on SO101 data. | |
| | | | | |
| |---|---| | |
| | **Policy** | ACT (`policy.type=act`) | | |
| | **Dataset** | [villekuosmanen/armnetbench_block_stack](https://huggingface.co/datasets/villekuosmanen/armnetbench_block_stack) | | |
| | **Task** | `block_stack` | | |
| | **Action dim** | 6 (single-arm) | | |
| | **Cameras** | `top`, `wrist`, `front` | | |
| | **Training** | GCloud A100-80GB (alpha-act-a100-1), batch 16, action horizon 30 | | |
| | **Loss @ 10k** | 0.163 | | |
| | **W&B project** | [act_block_stack](https://wandb.ai/pravsels/act_block_stack) | | |
| | **W&B run** | [6hzd0rjl](https://wandb.ai/pravsels/act_block_stack/runs/6hzd0rjl) | | |
| ## 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 | |
| ```python | |
| from lerobot.policies.act.modeling_act import ACTPolicy | |
| policy = ACTPolicy.from_pretrained("pravsels/act_block_stack") | |
| ``` | |