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
- Xet hash:
- 145080c15f6d626f80948320c36b2206ce58ecaccb4d3c4e5c7d65057cbbc820
- Size of remote file:
- 94.9 MB
- SHA256:
- baab4b9b33f036deb38298b46095de32e39fbc86ffb7c153f1e160c6ce2db007
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