Instructions to use TJ-chen/RDT-1B-LIBERO-Long with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TJ-chen/RDT-1B-LIBERO-Long with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TJ-chen/RDT-1B-LIBERO-Long", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cddb71c7de31e46672ab9319443f629f01540eb6ec7376bd438a72855aef533
- Size of remote file:
- 2.46 GB
- SHA256:
- b32ac2e0a98fd1728cca2957f2d07b2a8d49d2e4266e5d018b84c69c7a1b4127
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