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pitangent-ds
/
roberta-base-ontonotes

Token Classification
Transformers
TensorBoard
ONNX
Safetensors
PyTorch
English
roberta
RobertaForTokenClassification
named-entity-recognition
roberta-base
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use pitangent-ds/roberta-base-ontonotes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pitangent-ds/roberta-base-ontonotes with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="pitangent-ds/roberta-base-ontonotes")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("pitangent-ds/roberta-base-ontonotes")
    model = AutoModelForTokenClassification.from_pretrained("pitangent-ds/roberta-base-ontonotes", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-ontonotes / runs
20.4 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
arnabdhar's picture
arnabdhar
End of training
25437c4 over 2 years ago
  • Dec20_04-48-57_8f07b2673358
    End of training over 2 years ago