Image Feature Extraction
OpenCLIP
Safetensors
English
fashion
image-retrieval
image-to-image
siglip
lookbench
embedding
distillation
Instructions to use HopitAI/moda-fashion-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use HopitAI/moda-fashion-distilled with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:HopitAI/moda-fashion-distilled') tokenizer = open_clip.get_tokenizer('hf-hub:HopitAI/moda-fashion-distilled') - Notebooks
- Google Colab
- Kaggle
| { | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "do_convert_rgb": true, | |
| "image_processor_type": "SiglipImageProcessor", | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "processor_class": "SiglipImageProcessor", | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 224, | |
| "width": 224 | |
| }, | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ] | |
| } |