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
- Xet hash:
- 7870dbb548c06e4ccf273734cc01342952abedf55e30741e3b562ebbf2691a18
- Size of remote file:
- 975 MB
- SHA256:
- fbdbce79fc2448432093cab2215b4f3e4e68bca0807d86f212631fbbba38106c
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