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muchad
/
gliner-id

Token Classification
GLiNER
PyTorch
Indonesian
ner
named-entity-recognition
Indonesian
mdeberta
pruning
Model card Files Files and versions
xet
Community

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

  • Libraries
  • GLiNER

    How to use muchad/gliner-id with GLiNER:

    from gliner import GLiNER
    
    model = GLiNER.from_pretrained("muchad/gliner-id")
    
    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-id
536 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
muchad's picture
muchad
Update README.md
89dd811 verified 14 days ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    2.7 kB
    Update README.md 14 days ago
  • gliner_config.json
    3.13 kB
    Upload GLiNER model 9 months ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    534 MB
    xet
    Upload GLiNER model 9 months ago
  • special_tokens_map.json
    970 Bytes
    Upload GLiNER model 9 months ago
  • tokenizer.json
    2.23 MB
    Upload GLiNER model 9 months ago
  • tokenizer_config.json
    20.1 kB
    Upload GLiNER model 9 months ago