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EMBO
/
sd-ner-v2

Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use EMBO/sd-ner-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use EMBO/sd-ner-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="EMBO/sd-ner-v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("EMBO/sd-ner-v2")
    model = AutoModelForTokenClassification.from_pretrained("EMBO/sd-ner-v2")
  • Notebooks
  • Google Colab
  • Kaggle
sd-ner-v2 / runs
52.1 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Dr. Jorge Abreu Vicente
End of training
8315fe7 over 3 years ago
  • Aug10_11-01-20_fa00c0579cd0
    End of training almost 4 years ago
  • Aug10_12-06-41_fa00c0579cd0
    End of training almost 4 years ago
  • Jan18_12-55-19_74c6fcc0d76a
    End of training over 3 years ago