Image Feature Extraction
OpenCLIP
Safetensors
English
fashion
image-retrieval
image-to-image
siglip
lookbench
embedding
deepfashion2
Instructions to use HopitAI/moda-fashion-deepfashion2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use HopitAI/moda-fashion-deepfashion2 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:HopitAI/moda-fashion-deepfashion2') tokenizer = open_clip.get_tokenizer('hf-hub:HopitAI/moda-fashion-deepfashion2') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab17dd6bfe2cd17aae6f4b8bf7f8e842433be9fcbe9f70348d5bba2b6e75e01f
- Size of remote file:
- 813 MB
- SHA256:
- 2ad7d0d0e357119c85b2ac15d61882663130e470d16608d336f7bcd27dd90450
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