sofieneb
/

omni-tiny

Image Feature Extraction

feature-extraction

digital-pathology

foundation-model

vision-transformer

mixture-of-experts

knowledge-distillation

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-# OMNI-T: Scaling Multi-Teacher Distillation for Digital Pathology
 ## Model Summary
@@ -33,7 +33,7 @@ Other sizes of the collection:
 | [OMNI-B](https://huggingface.co/sofieneb/omni-base) | 114M | 768 | 21.8 | 87.1 | 63.2 |
 | [OMNI-L](https://huggingface.co/sofieneb/omni-large) | 330M | 1024 | 67.45 | 87.8 | 63.5 |
-📄 **Paper**: [*Scaling Multi-Teacher Distillation for Digital Pathology*](https://sofiene-boutaj.github.io/omni-projectpage/) (NeurIPS 2026 Main Track)
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   - custom_code
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+# OMNI-T: Scaling Multi-Teacher Distillation for Digital Pathology [NeurIPS 2026]
 ## Model Summary
 | [OMNI-B](https://huggingface.co/sofieneb/omni-base) | 114M | 768 | 21.8 | 87.1 | 63.2 |
 | [OMNI-L](https://huggingface.co/sofieneb/omni-large) | 330M | 1024 | 67.45 | 87.8 | 63.5 |
+📄 **Paper**: [*Scaling Multi-Teacher Distillation for Digital Pathology*](https://sofiene-boutaj.github.io/omni/) (NeurIPS 2026 Main Track)
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