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51la5
/
bert-large-NER

Token Classification
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
English
bert
Model card Files Files and versions
xet
Community
3

Instructions to use 51la5/bert-large-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 51la5/bert-large-NER with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="51la5/bert-large-NER")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("51la5/bert-large-NER")
    model = AutoModelForTokenClassification.from_pretrained("51la5/bert-large-NER")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Add evaluation results on the conll2003 config and train split of conll2003

#3 opened over 2 years ago by
autoevaluator

Adding `safetensors` variant of this model

#2 opened almost 3 years ago by
SFconvertbot

Add evaluation results on the conll2003 config and test split of conll2003

#1 opened over 3 years ago by
autoevaluator
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