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Duplicated from  fastino/GLiNER2.5-multi-Decide

helmo
/
GLiNER2.5-multi-Decide

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

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

  • Libraries
  • GLiNER2

    How to use helmo/GLiNER2.5-multi-Decide with GLiNER2:

    from gliner2 import GLiNER2
    
    model = GLiNER2.from_pretrained("helmo/GLiNER2.5-multi-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-multi-Decide
1.17 GB
Ctrl+K
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  • 2 contributors
History: 2 commits
helmo's picture
helmo
Add mirror notice
906de0a verified about 2 hours ago
  • encoder_config
    Duplicate from fastino/GLiNER2.5-multi-Decide about 2 hours ago
  • .gitattributes
    1.64 kB
    Duplicate from fastino/GLiNER2.5-multi-Decide about 2 hours ago
  • GLiNER-2.5-Decision-HF-Banner.png
    648 kB
    xet
    Duplicate from fastino/GLiNER2.5-multi-Decide about 2 hours ago
  • MIRROR.md
    2.36 kB
    Add mirror notice about 2 hours ago
  • README.md
    17 kB
    Duplicate from fastino/GLiNER2.5-multi-Decide about 2 hours ago
  • SKILL.md
    6.51 kB
    Duplicate from fastino/GLiNER2.5-multi-Decide about 2 hours ago
  • config.json
    3.15 kB
    Duplicate from fastino/GLiNER2.5-multi-Decide about 2 hours ago
  • model.safetensors
    1.15 GB
    xet
    Duplicate from fastino/GLiNER2.5-multi-Decide about 2 hours ago
  • tokenizer.json
    16 MB
    xet
    Duplicate from fastino/GLiNER2.5-multi-Decide about 2 hours ago
  • tokenizer_config.json
    646 Bytes
    Duplicate from fastino/GLiNER2.5-multi-Decide about 2 hours ago