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:
- 153a6b36c33763743623bf2603258d66687e0af62219a5ff821c7d07813520da
- Size of remote file:
- 4.91 GB
- SHA256:
- e9602b91b2242c91268e7a050f892b3b1efb85544e340a2c847574c71c227ca8
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