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rafmacalaba
/
gliner_datause

Token Classification
GLiNER
PyTorch
ner
data-use
Model card Files Files and versions
xet
Community

Instructions to use rafmacalaba/gliner_datause with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • GLiNER

    How to use rafmacalaba/gliner_datause with GLiNER:

    from gliner import GLiNER
    
    model = GLiNER.from_pretrained("rafmacalaba/gliner_datause")
  • Notebooks
  • Google Colab
  • Kaggle
gliner_datause
1.79 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
rafmacalaba's picture
rafmacalaba
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  • .gitattributes
    1.52 kB
    initial commit 1 day ago
  • README.md
    1.33 kB
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  • gliner_config.json
    2.4 kB
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  • holdout_metrics.json
    2.09 kB
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  • pytorch_model.bin
    1.78 GB
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  • tokenizer.json
    8.34 MB
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  • tokenizer_config.json
    538 Bytes
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