Instructions to use TJ-chen/RDT-1B-LIBERO-Goal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TJ-chen/RDT-1B-LIBERO-Goal with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TJ-chen/RDT-1B-LIBERO-Goal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e408d16d541daaa4147612fc8d9489ae80dd84bce9baa582fd991c24f169eb62
- Size of remote file:
- 2.46 GB
- SHA256:
- f9969f37284b9f70c7d387568ca0508d6b00f28cf373a5d594a59ee56dd0b5b4
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