Create README.md

README.md

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+---
+datasets:
+- RationAI/PanNuke
+tags:
+- medical
+- pannuke
+- dinov2
+- segmentation
+- nuclei-segmentation
+license: gpl-3.0
+pipeline_tag: image-segmentation
+---
+# DINOv2 Nuclei Segmentation Model
+
+## Model Details
+- **Format**: PyTorch .pth checkpoint
+- **Architecture**: DINOv2-Base (vitb14) with custom decoder
+- **Training Data**: PanNuke dataset
+- **Input Size**: 252x252
+- **Classes**: Background, Neoplastic, Inflammatory, Connective, Dead, Epithelial
+
+## Usage
+```python
+from huggingface_hub import hf_hub_download
+
+model = DinoV2ForSegmentation(num_classes=6)
+model.load_state_dict(
+    torch.load(
+        hf_hub_download(
+            repo_id="{model_repo}",
+            filename="{best_checkpoint}"
+        )
+    )
+)