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:
- 39de329a981b7c4ec2f991f6bda5e785397df38d25ad30f558bc078498415adb
- Size of remote file:
- 2.46 GB
- SHA256:
- 6ff61872f058d08d4fce7ebda58e66bfea714eecc9bfffaa7200e6c95b7047b7
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