feat: test upload - Trendyol DinoV2 Product Similarity and Retrieval Embedding Model
Browse files🧪 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
- Demo notebook for inference
🔒 Security: Scanned and validated
📋 RFC Compliance: Ready for company publication
Test upload by: Personal Account
README.md
CHANGED
@@ -150,7 +150,7 @@ By downloading or using this model, you agree to the terms above.
|
|
150 |
```
|
151 |
@misc{trendyol-dinov2-ecommerce,
|
152 |
title={Trendyol DinoV2 E-commerce Image Similarity Model},
|
153 |
-
author={Trendyol
|
154 |
year={2025},
|
155 |
url={https://huggingface.co/Trendyol/trendyol-dino-v2-ecommerce-256d}
|
156 |
}
|
|
|
150 |
```
|
151 |
@misc{trendyol-dinov2-ecommerce,
|
152 |
title={Trendyol DinoV2 E-commerce Image Similarity Model},
|
153 |
+
author={Trendyol Data Science Team},
|
154 |
year={2025},
|
155 |
url={https://huggingface.co/Trendyol/trendyol-dino-v2-ecommerce-256d}
|
156 |
}
|
__pycache__/modeling_trendyol_dinov2.cpython-312.pyc
CHANGED
Binary files a/__pycache__/modeling_trendyol_dinov2.cpython-312.pyc and b/__pycache__/modeling_trendyol_dinov2.cpython-312.pyc differ
|
|