Instructions to use nvidia/RADIO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/RADIO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="nvidia/RADIO", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/RADIO", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a89674d19c7c8aab0253eed3027e3fafb4464b5e221d558dd733b0dade3342a
- Size of remote file:
- 1.1 GB
- SHA256:
- 50324e8cb086885126a896ad9ecbac46355cf0e4c1d8363763b01693a4618ff1
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