Update README.md

README.md

@@ -15,10 +15,9 @@ pipeline_tag: object-detection
 
 # Historical Document Layout Detection Model (Co-DETR / DINO)
 
-A fine-tuned Co-DINO (Vision Transformer-based detector via MMDetection) model for detecting layout  
-elements in historical Swedish medical journal pages.
+A fine-tuned Co-DINO (Vision Transformer-based detector via MMDetection) model for detecting layout elements in historical Swedish medical journal pages.
 
-This model is a more advanced successor to earlier Mask R-CNN-based approaches, offering improved detection performance and robustness on complex layouts.
+This model is a more advanced successor to earlier Mask R-CNN-based approaches [cdhu-uu/SweMPer-layout-lite](https://huggingface.co/cdhu-uu/SweMPer-layout-lite), offering improved detection performance and robustness on complex layouts.
 
 This model was developed as part of the research project:  
 **Communicating Medicine (SweMPer): Digitalisation of Swedish Medical Periodicals, 1781–2011**