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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("robotics-diffusion-transformer/rdt-1b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62453b20509d0c764a7acb717905e4f386f9a9be7511d2b37af526be497df891
- Size of remote file:
- 16 MB
- SHA256:
- 85226c08608a72e022ed2eb8ba3a3350fcd893ce0988168a86a78887e6b36e60
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