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asdc
/
timeml_event_detection

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

Instructions to use asdc/timeml_event_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use asdc/timeml_event_detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="asdc/timeml_event_detection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("asdc/timeml_event_detection")
    model = AutoModelForTokenClassification.from_pretrained("asdc/timeml_event_detection")
  • Notebooks
  • Google Colab
  • Kaggle
timeml_event_detection / runs
103 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
asdc's picture
asdc
End of training
1722da1 over 3 years ago
  • Sep01_09-43-58_6bb5320d5557
    End of training over 3 years ago
  • Sep01_10-54-17_6bb5320d5557
    End of training over 3 years ago
  • Sep01_11-20-25_6bb5320d5557
    End of training over 3 years ago