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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("robotics-diffusion-transformer/RDT2-FM", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add paper link and improve model card
#2
by nielsr HF Staff - opened
This 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.
- Adding the
arxiv: 2602.03310metadata tag. - Removing
library_name: transformersfrom the metadata. The model uses a customRDTInferencerclass from the official repository and is not directly compatible with standardAutoModelloading, so removing this prevents the display of broken automated code snippets. - Improving the sample usage section with full imports and clearer instructions.