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Babelscape
/
cner-base

Token Classification
Transformers
TensorBoard
Safetensors
English
deberta-v2
named-entity-recognition
sequence-tagger-model
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Babelscape/cner-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Babelscape/cner-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Babelscape/cner-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Babelscape/cner-base")
    model = AutoModelForTokenClassification.from_pretrained("Babelscape/cner-base")
  • Notebooks
  • Google Colab
  • Kaggle
cner-base / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
g185's picture
g185
Training in progress, step 8000
a727388 verified about 2 years ago
  • Apr10_07-52-54_ea618de2c517
    Training in progress, step 2000 about 2 years ago
  • Apr10_08-05-49_ea618de2c517
    Training in progress, step 2000 about 2 years ago
  • Apr10_08-13-04_ea618de2c517
    Training in progress, step 1000 about 2 years ago
  • Apr10_09-17-05_ea618de2c517
    Training in progress, step 8000 about 2 years ago