Image Feature Extraction
OpenCLIP
PyTorch
English
fashion
image-retrieval
image-to-image
siglip
lookbench
embedding
vision-only
fp16
compressed
Instructions to use HopitAI/moda-fashion-vision-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use HopitAI/moda-fashion-vision-fp16 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:HopitAI/moda-fashion-vision-fp16') tokenizer = open_clip.get_tokenizer('hf-hub:HopitAI/moda-fashion-vision-fp16') - Notebooks
- Google Colab
- Kaggle
Ctrl+K
vision-fp16 snippet: drop Marqo dependency, use vanilla ViT-B-16-SigLIP architecture (186 MB true footprint)
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