Instructions to use sean1295/tbdvla_singlearm_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use sean1295/tbdvla_singlearm_base 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
TBD-VLA single-arm base
| Feature | Shape | Description |
|---|---|---|
observation.images.image |
(3, 256, 256) |
RGB image, channels first |
observation.images.image2 |
(3, 256, 256) |
Second RGB image, channels first |
observation.state |
(8,) |
Robot state |
action |
(7,) per timestep |
Robot action |
The model uses one observation timestep and predicts a chunk of 16 actions, with output shape (batch_size, 16, 7).
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