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Duplicated from  fastino/GLiNER2.5-Decide

Deepdive404-3
/
GLiNER2.5-Decide

Token Classification
GLiNER2
Safetensors
English
extractor
Text classification
Intent classification
Sentiment Analysis
Topic classification
Named Entity Recognition
Model card Files Files and versions
xet
Community

Instructions to use Deepdive404-3/GLiNER2.5-Decide with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • GLiNER2

    How to use Deepdive404-3/GLiNER2.5-Decide with GLiNER2:

    from gliner2 import AutoExtractor
    
    extractor = AutoExtractor.from_pretrained("Deepdive404-3/GLiNER2.5-Decide")
    
    # Extract entities
    text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday."
    result = extractor.extract_entities(text, ["company", "person", "product", "location"])
    
    print(result)
  • Notebooks
  • Google Colab
  • Kaggle
GLiNER2.5-Decide
1.95 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
Deepdive404-3's picture
Deepdive404-3
urchade's picture
urchade
Duplicate from fastino/GLiNER2.5-Decide
03d8809 3 days ago
  • encoder_config
    Duplicate from fastino/GLiNER2.5-Decide 3 days ago
  • .gitattributes
    1.59 kB
    Duplicate from fastino/GLiNER2.5-Decide 3 days ago
  • GLiNER-2.5-Decision-HF-Banner.png
    648 kB
    xet
    Duplicate from fastino/GLiNER2.5-Decide 3 days ago
  • README.md
    16.8 kB
    Duplicate from fastino/GLiNER2.5-Decide 3 days ago
  • SKILL.md
    6.51 kB
    Duplicate from fastino/GLiNER2.5-Decide 3 days ago
  • config.json
    594 Bytes
    Duplicate from fastino/GLiNER2.5-Decide 3 days ago
  • model.safetensors
    1.95 GB
    xet
    Duplicate from fastino/GLiNER2.5-Decide 3 days ago
  • special_tokens_map.json
    2.41 kB
    Duplicate from fastino/GLiNER2.5-Decide 3 days ago
  • tokenizer.json
    8.33 MB
    Duplicate from fastino/GLiNER2.5-Decide 3 days ago
  • tokenizer_config.json
    3.36 kB
    Duplicate from fastino/GLiNER2.5-Decide 3 days ago