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bhaskars113
/
113-gliner-multi

GLiNER2
Safetensors
Token Classification
Zero-Shot Classification
Text Classification
relation extraction
Structured extraction
Model card Files Files and versions
xet
Community

Instructions to use bhaskars113/113-gliner-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • GLiNER2

    How to use bhaskars113/113-gliner-multi with GLiNER2:

    from gliner2 import GLiNER2
    
    model = GLiNER2.from_pretrained("bhaskars113/113-gliner-multi")
    
    # 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
113-gliner-multi
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  • 1 contributor
History: 5 commits
bhaskars113's picture
bhaskars113
Rename config.json to gliner_config.json
dbf2d02 verified about 1 month ago
  • encoder_config
    Initial model upload about 1 month ago
  • .gitattributes
    1.57 kB
    Initial model upload about 1 month ago
  • README.md
    4.72 kB
    Initial model upload about 1 month ago
  • added_tokens.json
    230 Bytes
    Initial model upload about 1 month ago
  • gliner_config.json
    234 Bytes
    Rename config.json to gliner_config.json about 1 month ago
  • handler.py
    891 Bytes
    Create handler.py about 1 month ago
  • model.safetensors
    1.23 GB
    xet
    Initial model upload about 1 month ago
  • requirements.txt
    110 Bytes
    Create requirements.txt about 1 month ago
  • special_tokens_map.json
    2.41 kB
    Initial model upload about 1 month ago
  • spm.model
    4.31 MB
    xet
    Initial model upload about 1 month ago
  • tokenizer.json
    16.3 MB
    xet
    Initial model upload about 1 month ago
  • tokenizer_config.json
    21.6 kB
    Initial model upload about 1 month ago