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")# pip install -U transformers accelerate # 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
Download training_images.csv from microsoft/rad-dino: direct link, hf CLI and curl.
- Browser
- Download file 94.9 MB
-
https://huggingface.co/microsoft/rad-dino/resolve/main/training_images.csv
- Command line
-
hf download hf://microsoft/rad-dino/training_images.csv
-
curl -L -o training_images.csv https://huggingface.co/microsoft/rad-dino/resolve/main/training_images.csv
94.9 MB
- Xet hash:
- 145080c15f6d626f80948320c36b2206ce58ecaccb4d3c4e5c7d65057cbbc820
- Size of remote file:
- 94.9 MB
- SHA256:
- baab4b9b33f036deb38298b46095de32e39fbc86ffb7c153f1e160c6ce2db007
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