Instructions to use microsoft/rad-dino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/rad-dino with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="microsoft/rad-dino")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("microsoft/rad-dino") model = AutoModel.from_pretrained("microsoft/rad-dino", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05a9b520e594008ba14abbabb9f6750a830673e4734f72b461915c2a5939430a
- Size of remote file:
- 346 MB
- SHA256:
- dbfb9f54459c38773505de64a6ab7807bdcb392610fe1e697166342e43fb91ae
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