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HopitAI
/
moda-pro-lite

Feature Extraction
OpenCLIP
Safetensors
fashion
retrieval
text-to-image
siglip2
Model card Files Files and versions
xet
Community

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
moda-pro-lite
856 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
ArkidMitra's picture
ArkidMitra
Move serving recipe to moda-pro-lite-plus
16a5669 verified about 1 month ago
  • .gitattributes
    1.57 kB
    MODA Pro Lite v1.0: weights (WiSE a=0.4), config, tokenizer, card about 2 months ago
  • README.md
    3.43 kB
    Card: MODA Pro Lite (bare encoder); recipe moved to moda-pro-lite-plus about 1 month ago
  • open_clip_config.json
    943 Bytes
    config: tokenizer resolves from this repo (trimmed vocab) about 2 months ago
  • open_clip_model.safetensors
    853 MB
    xet
    v1.1: verified 213M fashion-vocab build (gate: 100% bit-identity on 18K texts, graceful OOV fallback) about 2 months ago
  • special_tokens_map.json
    555 Bytes
    MODA Pro Lite v1.0: weights (WiSE a=0.4), config, tokenizer, card about 2 months ago
  • tokenizer.json
    3.19 MB
    xet
    v1.1: verified 213M fashion-vocab build (gate: 100% bit-identity on 18K texts, graceful OOV fallback) about 2 months ago
  • tokenizer_config.json
    46.4 kB
    MODA Pro Lite v1.0: weights (WiSE a=0.4), config, tokenizer, card about 2 months ago