Zero-Shot Image Classification
OpenCLIP
Safetensors
fashion
retrieval
text-to-image
siglip2
e-commerce
moda
Eval Results (legacy)
Instructions to use HopitAI/moda-pro-lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use HopitAI/moda-pro-lite with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:HopitAI/moda-pro-lite') tokenizer = open_clip.get_tokenizer('hf-hub:HopitAI/moda-pro-lite') - Notebooks
- Google Colab
- Kaggle
v1.1: verified 213M fashion-vocab build (gate: 100% bit-identity on 18K texts, graceful OOV fallback)
19b930b verified - Xet hash:
- fcb9aac4820de01e69d0672d0dbd56bdff13c797df147b805af45fccdc663dd7
- Size of remote file:
- 853 MB
- SHA256:
- 536c60b2f8dcb57492cd20b990edcfeba1c43bf47563f93945632b26f2a7c5b9
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