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HopitAI
/
moda-ner-v-catalog

Image Classification
OpenCLIP
English
fashion
attribute-extraction
product-attributes
catalog-enrichment
e-commerce
computer-vision
multi-label-classification
siglip
moda-ner
benchmark
reproducibility
non-commercial
color-detection
fit-prediction
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use HopitAI/moda-ner-v-catalog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • OpenCLIP

    How to use HopitAI/moda-ner-v-catalog with OpenCLIP:

    import open_clip
    
    model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:HopitAI/moda-ner-v-catalog')
    tokenizer = open_clip.get_tokenizer('hf-hub:HopitAI/moda-ner-v-catalog')
  • Notebooks
  • Google Colab
  • Kaggle
moda-ner-v-catalog
425 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
ArkidMitra's picture
ArkidMitra
Add machine-readable eval metadata; resolve the placeholder score; correct library_name
64702f7 verified 29 days ago
  • .gitattributes
    1.52 kB
    initial commit 29 days ago
  • README.md
    3.99 kB
    Add machine-readable eval metadata; resolve the placeholder score; correct library_name 29 days ago
  • conversion_receipt.json
    2.62 kB
    Initial release: weights, thresholds, vocabulary and model card 29 days ago
  • linear_heads.safetensors
    414 kB
    xet
    Initial release: weights, thresholds, vocabulary and model card 29 days ago
  • schema.json
    2.99 kB
    Add the schema the published route needs to load 29 days ago