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rafmacalaba
/
gliner-tier-probe

GLiNER
probe
data-use
tiered
Model card Files Files and versions
xet
Community

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

  • Libraries
  • GLiNER

    How to use rafmacalaba/gliner-tier-probe with GLiNER:

    from gliner import GLiNER
    
    model = GLiNER.from_pretrained("rafmacalaba/gliner-tier-probe")
    
    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-tier-probe
7.02 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
rafmacalaba's picture
rafmacalaba
Upload holdout_probe_predictions.jsonl with huggingface_hub
76571dc verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    2.39 kB
    Upload README.md with huggingface_hub about 1 month ago
  • head.pt
    1.84 MB
    xet
    Upload head.pt with huggingface_hub about 1 month ago
  • holdout_probe_predictions.jsonl
    5.17 MB
    Upload holdout_probe_predictions.jsonl with huggingface_hub about 1 month ago
  • probe_metrics.json
    1.56 kB
    Upload probe_metrics.json with huggingface_hub about 1 month ago