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knowledgator
/
gliner-bi-base-v2.0

Token Classification
GLiNER
PyTorch
English
NER
GLiNER
information extraction
encoder
entity recognition
modernbert
bi-encoder
scalable-ner
zero-shot-ner
Model card Files Files and versions
xet
Community
3

Instructions to use knowledgator/gliner-bi-base-v2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • GLiNER

    How to use knowledgator/gliner-bi-base-v2.0 with GLiNER:

    from gliner import GLiNER
    
    model = GLiNER.from_pretrained("knowledgator/gliner-bi-base-v2.0")
    
    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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#3 opened 4 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#2 opened 7 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened about 1 year ago by
SFconvertbot
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