Instructions to use pravsels/molmoact2_cable_clip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use pravsels/molmoact2_cable_clip with LeRobot:
- Notebooks
- Google Colab
- Kaggle
| library_name: lerobot | |
| tags: | |
| - molmoact2 | |
| - robotics | |
| - lerobot | |
| - vla | |
| base_model: allenai/MolmoAct2 | |
| # molmoact2_cable_clip | |
| Fine-tuned [MolmoAct2](https://huggingface.co/allenai/MolmoAct2) (action-expert-only) on SO101 data. | |
| | | | | |
| |---|---| | |
| | **Base model** | [allenai/MolmoAct2](https://huggingface.co/allenai/MolmoAct2) | | |
| | **Dataset** | [pravsels/cable_clip_remote_v2](https://huggingface.co/datasets/pravsels/cable_clip_remote_v2) | | |
| | **Task** | `cable_clip` | | |
| | **Training** | Vast.ai H100 SXM, batch 64, bf16, gradient checkpointing | | |
| | **W&B project** | [molmoact2_cable_clip](https://wandb.ai/pravsels/molmoact2_cable_clip) | | |
| | **W&B run** | [lxfvldh4](https://wandb.ai/pravsels/molmoact2_cable_clip/runs/lxfvldh4) | | |
| ## Checkpoints | |
| | Step | Path | | |
| |------|------| | |
| | 006000 | `checkpoints/006000/pretrained_model/` | | |
| | 004000 | `checkpoints/004000/pretrained_model/` | | |
| ## Usage | |
| ```python | |
| from lerobot.policies.molmoact2.modeling_molmoact2 import MolmoAct2Policy | |
| policy = MolmoAct2Policy.from_pretrained("pravsels/molmoact2_cable_clip", revision="main") | |
| ``` | |