Instructions to use TeleEmbodied/SMART-VLA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TeleEmbodied/SMART-VLA with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TeleEmbodied/SMART-VLA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add project and arXiv badges to model card
Browse files
README.md
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SMART-VLA is a PRTS-architecture vision-language-action model pretrained on [SMART-Data](https://huggingface.co/datasets/TeleEmbodied/SMART-Data) for articulated-object manipulation and sim-to-real transfer.
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## Model Details
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<a href="https://teamillusion-smart.github.io/"><img alt="Project: teamillusion-smart.github.io" src="https://img.shields.io/badge/Project-teamillusion--smart.github.io-2563eb?logo=github&logoColor=white&style=flat-square"></a> <a href="https://arxiv.org/abs/2610.07652"><img alt="arXiv: 2610.07652" src="https://img.shields.io/badge/arXiv-2610.07652-b31b1b?logo=arxiv&logoColor=white&style=flat-square"></a>
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</p>
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SMART-VLA is a PRTS-architecture vision-language-action model pretrained on [SMART-Data](https://huggingface.co/datasets/TeleEmbodied/SMART-Data) for articulated-object manipulation and sim-to-real transfer.
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## Model Details
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