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HopitAI
/
moda-ner-v-crop

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

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

  • Libraries
  • OpenCLIP

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

    import open_clip
    
    model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:HopitAI/moda-ner-v-crop')
    tokenizer = open_clip.get_tokenizer('hf-hub:HopitAI/moda-ner-v-crop')
  • Notebooks
  • Google Colab
  • Kaggle
moda-ner-v-crop
833 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
ArkidMitra's picture
ArkidMitra
Notice: inference preprocessing fixed 2026-09-19; re-run if used before
d878a7f verified 9 days ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    5.24 kB
    Notice: inference preprocessing fixed 2026-09-19; re-run if used before 9 days ago
  • metrics.json
    63.9 kB
    Record training provenance as run names rather than internal mount paths about 1 month ago
  • model.safetensors
    833 MB
    xet
    Initial release: weights, thresholds, vocabulary and model card about 1 month ago
  • thresholds.json
    1.87 kB
    Initial release: weights, thresholds, vocabulary and model card about 1 month ago
  • vocabulary.json
    13.6 kB
    Initial release: weights, thresholds, vocabulary and model card about 1 month ago