Feature Extraction
Transformers
PyTorch
Safetensors
English
trendyol_dinov2_v21
image-similarity
image-retrieval
computer-vision
e-commerce
dinov2
gem-pooling
custom_code
Instructions to use Trendyol/trendyol-dino-v2.1-ecommerce-256d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Trendyol/trendyol-dino-v2.1-ecommerce-256d with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Trendyol/trendyol-dino-v2.1-ecommerce-256d", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Trendyol/trendyol-dino-v2.1-ecommerce-256d", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "image_processor_type": "TrendyolDinoV21ImageProcessor", | |
| "processor_class": "TrendyolDinoV21ImageProcessor", | |
| "auto_map": { | |
| "AutoImageProcessor": "image_processing_trendyol_dinov2_v21.TrendyolDinoV21ImageProcessor" | |
| }, | |
| "input_size": 224, | |
| "pad_color": 255, | |
| "do_normalize": true, | |
| "image_mean": [0.485, 0.456, 0.406], | |
| "image_std": [0.229, 0.224, 0.225], | |
| "do_resize": true, | |
| "size": {"height": 224, "width": 224}, | |
| "do_convert_rgb": true, | |
| "transforms": [ | |
| "ScaleImage", | |
| "PadToSquare", | |
| "Resize", | |
| "ToTensor", | |
| "Normalize" | |
| ] | |
| } | |