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
Update README
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README.md
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license:
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library_name: transformers
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---
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- **Developed by:** Microsoft Health Futures
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- **Model type:** Vision transformer
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- **License:**
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- **Finetuned from model:** [`dinov2-base`](https://huggingface.co/facebook/dinov2-base)
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## Uses
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```bibtex
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@misc{perezgarcia2024raddino,
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title={{RAD-DINO}: Exploring Scalable Medical Image Encoders Beyond Text Supervision},
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author={Fernando Pérez-García and Harshita Sharma and Sam Bond-Taylor and Kenza Bouzid and Valentina Salvatelli and Maximilian Ilse and Shruthi Bannur and Daniel C. Castro and Anton Schwaighofer and Matthew P. Lungren and Maria Wetscherek and Noel Codella and Stephanie L. Hyland and Javier Alvarez-Valle and Ozan Oktay},
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year={2024},
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eprint={2401.10815},
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license: other
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license_name: msrla
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license_link: https://huggingface.co/microsoft/rad-dino/blob/main/LICENSE
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library_name: transformers
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---
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- **Developed by:** Microsoft Health Futures
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- **Model type:** Vision transformer
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- **License:** [MSRLA](./LICENSE)
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- **Finetuned from model:** [`dinov2-base`](https://huggingface.co/facebook/dinov2-base)
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## Uses
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```bibtex
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@misc{perezgarcia2024raddino,
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title={{RAD-DINO}: Exploring Scalable Medical Image Encoders Beyond Text Supervision},
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author={Fernando Pérez-García and Harshita Sharma and Sam Bond-Taylor and Kenza Bouzid and Valentina Salvatelli and Maximilian Ilse and Shruthi Bannur and Daniel C. Castro and Anton Schwaighofer and Matthew P. Lungren and Maria Wetscherek and Noel Codella and Stephanie L. Hyland and Javier Alvarez-Valle and Ozan Oktay},
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year={2024},
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eprint={2401.10815},
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