Instructions to use TJ-chen/RDT-1B-LIBERO-Spatial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TJ-chen/RDT-1B-LIBERO-Spatial with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TJ-chen/RDT-1B-LIBERO-Spatial", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1ba7aac57ff6e101e784a94828bdc638a2a7102e70c5786f3825b0994eb4e6d
- Size of remote file:
- 15.8 kB
- SHA256:
- 746b06abd6fc57b1f730d07de614bb4ed953fc538c2f545d5d8219a2c8b00880
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