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Sarthak279
/
Named-Entity-Recognition

Token Classification
Transformers
Safetensors
distilbert
Model card Files Files and versions
xet
Community

Instructions to use Sarthak279/Named-Entity-Recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Sarthak279/Named-Entity-Recognition with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Sarthak279/Named-Entity-Recognition")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Sarthak279/Named-Entity-Recognition")
    model = AutoModelForTokenClassification.from_pretrained("Sarthak279/Named-Entity-Recognition")
  • Notebooks
  • Google Colab
  • Kaggle
Named-Entity-Recognition
262 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
Sarthak279's picture
Sarthak279
Create README.md
0c9c998 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    89 Bytes
    Create README.md over 2 years ago
  • config.json
    926 Bytes
    Upload DistilBertForTokenClassification over 2 years ago
  • model.safetensors
    261 MB
    xet
    Upload DistilBertForTokenClassification over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer.json
    669 kB
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    1.2 kB
    Upload tokenizer over 2 years ago
  • vocab.txt
    213 kB
    Upload tokenizer over 2 years ago