Instructions to use robotics-diffusion-transformer/rdt-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use robotics-diffusion-transformer/rdt-1b with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("robotics-diffusion-transformer/rdt-1b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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All the [code](https://github.com/GeneralEmbodiedSystem/RoboticsDiffusionTransformer/tree/main?tab=readme-ov-file), pre-trained model weights, and [data](https://github.com/thu-ml/RoboticsDiffusionTransformer) are licensed under the MIT license.
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Please refer to our [project page](https://rdt-robotics.github.io/rdt-robotics/) and [paper]() for more information.
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## Model Details
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All the [code](https://github.com/GeneralEmbodiedSystem/RoboticsDiffusionTransformer/tree/main?tab=readme-ov-file), pre-trained model weights, and [data](https://github.com/thu-ml/RoboticsDiffusionTransformer) are licensed under the MIT license.
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Please refer to our [project page](https://rdt-robotics.github.io/rdt-robotics/) and [paper](https://rdt-robotics.github.io/rdt-robotics/static/paper.pdf) for more information.
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## Model Details
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