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rafmacalaba
/
gliner-datause-catchall-singlepass

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

Instructions to use rafmacalaba/gliner-datause-catchall-singlepass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • GLiNER

    How to use rafmacalaba/gliner-datause-catchall-singlepass with GLiNER:

    from gliner import GLiNER
    
    model = GLiNER.from_pretrained("rafmacalaba/gliner-datause-catchall-singlepass")
    
    text = "Cristiano Ronaldo dos Santos Aveiro was born on 5 February 1985 in Funchal, Madeira, Portugal."
    labels = ["person", "date", "location"]
    
    entities = model.predict_entities(text, labels)
    for entity in entities:
        print(entity["text"], "=>", entity["label"])
  • Notebooks
  • Google Colab
  • Kaggle
gliner-datause-catchall-singlepass
1.79 GB
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  • 1 contributor
History: 2 commits
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rafmacalaba
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  • .gitattributes
    1.52 kB
    initial commit 29 days ago
  • README.md
    1.51 kB
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  • gliner_config.json
    2.4 kB
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  • head_config.json
    123 Bytes
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  • holdout_metrics.json
    18 kB
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  • probe_head.pt
    2.37 MB
    xet
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  • pytorch_model.bin
    1.78 GB
    xet
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  • thresholds.json
    533 Bytes
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  • tokenizer.json
    8.34 MB
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  • tokenizer_config.json
    538 Bytes
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