Instructions to use pravsels/act_transfer_cube with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use pravsels/act_transfer_cube with LeRobot:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
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Download README.md from pravsels/act_transfer_cube: direct link, hf CLI and curl.
- Browser
- Download file 1.16 kB
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https://huggingface.co/pravsels/act_transfer_cube/resolve/main/README.md
- Command line
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hf download hf://pravsels/act_transfer_cube/README.md
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curl -L -o README.md https://huggingface.co/pravsels/act_transfer_cube/resolve/main/README.md
1.16 kB
| library_name: lerobot | |
| tags: | |
| - act | |
| - robotics | |
| - lerobot | |
| - bimanual | |
| # act_transfer_cube | |
| Standard LeRobot ACT trained from scratch on SO101 data. | |
| | | | | |
| |---|---| | |
| | **Policy** | ACT (`policy.type=act`) | | |
| | **Dataset** | [villekuosmanen/armnetbench_transfer_cube](https://huggingface.co/datasets/villekuosmanen/armnetbench_transfer_cube) | | |
| | **Task** | `transfer_cube` | | |
| | **Action dim** | 12 (bimanual) | | |
| | **Cameras** | `top`, `left_wrist`, `right_wrist` | | |
| | **Training** | GCloud A100-80GB (alpha-act-a100-3), batch 16, action horizon 30 | | |
| | **Loss @ 10k** | 0.166 | | |
| | **W&B project** | [act_transfer_cube](https://wandb.ai/pravsels/act_transfer_cube) | | |
| | **W&B run** | [va8dy7k8](https://wandb.ai/pravsels/act_transfer_cube/runs/va8dy7k8) | | |
| ## 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_transfer_cube") | |
| ``` | |