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") - Notebooks
- Google Colab
- Kaggle
Add checkpoint compatible with GitHub repo's
Browse files
backbone_compatible.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1eac0464b2a00d368aa3eea1dc029964b10320fbabc59a8a4e768c43a23d26f4
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size 346338024
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