Robotics
Transformers
PyTorch
English
RDT
rdt
RDT 2
Vision-Language-Action
Bimanual
Manipulation
Zero-shot
UMI
Flowmatching
Diffusion
Action Expert
Instructions to use robotics-diffusion-transformer/RDT2-FM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use robotics-diffusion-transformer/RDT2-FM with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("robotics-diffusion-transformer/RDT2-FM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add paper link and improve model card
Verified signatureThis PR improves the model card for RDT2-FM by: - Linking the model to its research paper: [RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization](https://huggingface.co/papers/2602.03310). - Adding the `arxiv: 2602.03310` metadata tag. - Removing `library_name: transformers` from the metadata. The model uses a custom `RDTInferencer` class from the official repository and is not directly compatible with standard `AutoModel` loading, so removing this prevents the display of broken automated code snippets. - Improving the sample usage section with full imports and clearer instructions.d37314a
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