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
File size: 1,122 Bytes
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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")
```
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