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rootacess
/
bert-finetuned-ner

Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use rootacess/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rootacess/bert-finetuned-ner with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="rootacess/bert-finetuned-ner")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("rootacess/bert-finetuned-ner")
    model = AutoModelForTokenClassification.from_pretrained("rootacess/bert-finetuned-ner")
  • Notebooks
  • Google Colab
  • Kaggle
bert-finetuned-ner / runs
12.9 kB
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  • 1 contributor
History: 2 commits
rootacess's picture
rootacess
NER classification training complete
17475ef over 3 years ago
  • Dec27_09-05-14_d9e2adcceb7e
    NER classification training complete over 3 years ago