Instructions to use TJ-chen/RDT-1B-LIBERO-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TJ-chen/RDT-1B-LIBERO-Base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TJ-chen/RDT-1B-LIBERO-Base", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 672a1c0899ffdc89a5da18c069d7f82607d6ae03b59b9a843603cf53839f93db
- Size of remote file:
- 1 kB
- SHA256:
- 7022c6114f424b5cee4a5d645fb518a507c464c2150e91eb46be9df2de65999d
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