Image Feature Extraction
OpenCLIP
Safetensors
English
fashion
image-retrieval
image-to-image
siglip
lookbench
embedding
distillation
Eval Results (legacy)
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
- Xet hash:
- 04d0300365a14b05821ee3e441f4ae5e0f79806578ae4a84cf41a846f6ed3467
- Size of remote file:
- 813 MB
- SHA256:
- 717f905ccffead0f00d520c66d64cf0d4f25eeb01d682e77033459e3d9197b2d
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