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UMCU
/
RobBERT_NegationDetection_32xTokenWindow

Token Classification
Transformers
PyTorch
Safetensors
Dutch
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use UMCU/RobBERT_NegationDetection_32xTokenWindow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use UMCU/RobBERT_NegationDetection_32xTokenWindow with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="UMCU/RobBERT_NegationDetection_32xTokenWindow")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("UMCU/RobBERT_NegationDetection_32xTokenWindow")
    model = AutoModelForTokenClassification.from_pretrained("UMCU/RobBERT_NegationDetection_32xTokenWindow")
  • Notebooks
  • Google Colab
  • Kaggle
RobBERT_NegationDetection_32xTokenWindow
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  • 2 contributors
History: 2 commits
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