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smashburger-dev
/
kleinhirn-weights

Text Classification
GLiNER2
kleinhirn
zero-shot
webgpu
deberta-v2
Model card Files Files and versions
xet
Community

Instructions to use smashburger-dev/kleinhirn-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • GLiNER2

    How to use smashburger-dev/kleinhirn-weights with GLiNER2:

    from gliner2 import AutoExtractor
    
    extractor = AutoExtractor.from_pretrained("smashburger-dev/kleinhirn-weights")
    
    # Extract entities
    text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday."
    result = extractor.extract_entities(text, ["company", "person", "product", "location"])
    
    print(result)
  • Notebooks
  • Google Colab
  • Kaggle
kleinhirn-weights
471 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
smashburger-dev's picture
smashburger-dev
Add small-upstream f16/f32 weights, model card, LICENSE, NOTICE
f664c7a verified 9 days ago
  • small-upstream
    Add small-upstream f16/f32 weights, model card, LICENSE, NOTICE 9 days ago
  • .gitattributes
    1.52 kB
    initial commit 9 days ago
  • LICENSE
    11.3 kB
    Add small-upstream f16/f32 weights, model card, LICENSE, NOTICE 9 days ago
  • NOTICE
    1.92 kB
    Add small-upstream f16/f32 weights, model card, LICENSE, NOTICE 9 days ago
  • README.md
    1.75 kB
    Add small-upstream f16/f32 weights, model card, LICENSE, NOTICE 9 days ago