Robotics
Transformers
Safetensors
LeRobot
xvla
feature-extraction
vision-language-action
x-vla
openarm
custom_code
Instructions to use asterisms45/X-VLA-openarm-pos-2cam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asterisms45/X-VLA-openarm-pos-2cam with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("asterisms45/X-VLA-openarm-pos-2cam", trust_remote_code=True, dtype="auto") - LeRobot
How to use asterisms45/X-VLA-openarm-pos-2cam with LeRobot:
- Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| library_name: transformers | |
| base_model: 2toINF/X-VLA-Pt | |
| tags: | |
| - robotics | |
| - vision-language-action | |
| - lerobot | |
| - x-vla | |
| - openarm | |
| # X-VLA OpenArm POS 2-Camera | |
| Fine-tuned from `2toINF/X-VLA-Pt` on `asterisms45/my_openarm_dataset_test`. | |
| Training setup: | |
| - dataset format: LeRobot v3.0 | |
| - action/proprio: `*.pos` only | |
| - effective action dim: 8 | |
| - cameras: | |
| - `observation.images.cam_right_hand` | |
| - `observation.images.cam_ego` | |
| - excluded camera: | |
| - `observation.images.cam_left_hand` | |
| - training steps: 20000 | |
| This checkpoint was trained in X-VLA with `action_mode=auto`, `real_action_dim=8`, and `max_action_dim=8`. | |
| ## Loading | |
| ```python | |
| from transformers import AutoModel, AutoProcessor | |
| model = AutoModel.from_pretrained( | |
| "asterisms45/X-VLA-openarm-pos-2cam", | |
| trust_remote_code=True, | |
| ) | |
| processor = AutoProcessor.from_pretrained( | |
| "asterisms45/X-VLA-openarm-pos-2cam", | |
| trust_remote_code=True, | |
| ) | |
| ``` | |