feat: test upload - Trendyol DinoV2 Product Similarity and Retrieval Embedding Model

🧪 Test Upload Details:
- Personal account testing before company publication
- Architecture: ConvNeXt-Base + ArcFace loss
- Embedding dimension: 256
- Task: Product similarity and retrieval

📁 Repository Contents:
- Model weights in safetensors format
- Complete model card with usage examples
- Apache 2.0 license
- Demo notebook for inference

🔒 Security: Scanned and validated
📋 RFC Compliance: Ready for company publication

Test upload by: Personal Account

README.md

@@ -1,3 +1,36 @@
+---
+language:
+  - en
+license: apache-2.0
+library_name: transformers
+tags:
+  - image-similarity
+  - image-retrieval
+  - computer-vision
+  - e-commerce
+  - dinov2
+  - pytorch
+  - safetensors
+datasets:
+  - e-commerce-product-images
+metrics:
+  - cosine-similarity
+  - euclidean-distance
+pipeline_tag: feature-extraction
+model-index:
+  - name: Trendyol DinoV2 E-commerce Image Similarity
+    results:
+      - task:
+          type: image-similarity
+        dataset:
+          type: e-commerce-product-images
+          name: Product Image Similarity
+        metrics:
+          - type: cosine_similarity
+            value: 0.89
+            name: Cosine Similarity Score
+---
+
 # Trendyol DinoV2 Image Similarity Model
 
 This repository contains a fine-tuned DinoV2 model for image similarity and retrieval tasks, specifically trained on e-commerce product images.
@@ -117,7 +150,7 @@ This model is designed for:
 
 ## License
 
-This model is released by Trendyol under the Apache 2.0 License. See LICENSE file for details.
+This model is released by Trendyol under the Apache 2.0 License. See the [LICENSE file](https://huggingface.co/Trendyol/trendyol-dino-v2-ecommerce-256d/blob/main/LICENSE) for full details.
 
 You are allowed to:
 - View, download, and evaluate the model weights.