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README.md

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 # Stylizing ViT Base - Camelyon17-Wilds
 
 <!-- Provide a quick summary of what the model is/does. -->
-This model is the **Base** variant of **Stylizing ViT**, trained on the **Camelyon17-Wilds** dataset [Dataset Link](https://wilds.stanford.edu/datasets/). 
+This model is the **Base** variant of **Stylizing ViT**, trained on the [**Camelyon17-Wilds**](https://wilds.stanford.edu/datasets/) dataset.
 
 **Stylizing ViT** is a novel Vision Transformer encoder that utilizes weight-shared attention blocks for both self- and cross-attention. This design allows the same attention block to maintain anatomical consistency (via self-attention) while performing style transfer (via cross-attention), enabling anatomy-preserving instance style transfer for domain generalization in medical imaging.