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Ghost1
/
bert-finetuned-ner3

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 Ghost1/bert-finetuned-ner3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ghost1/bert-finetuned-ner3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Ghost1/bert-finetuned-ner3")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Ghost1/bert-finetuned-ner3")
    model = AutoModelForTokenClassification.from_pretrained("Ghost1/bert-finetuned-ner3")
  • Notebooks
  • Google Colab
  • Kaggle
bert-finetuned-ner3 / runs
11.9 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Ghost1's picture
Ghost1
Training complete
c50c438 about 4 years ago
  • Apr25_11-48-53_99d51b31f586
    Training complete about 4 years ago