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pakkinlau
/
bert-base-uncased-finetuned-advanced-srl_arg

Token Classification
Transformers
TensorBoard
Safetensors
bert
semantic-role-labeling
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use pakkinlau/bert-base-uncased-finetuned-advanced-srl_arg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pakkinlau/bert-base-uncased-finetuned-advanced-srl_arg with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="pakkinlau/bert-base-uncased-finetuned-advanced-srl_arg")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("pakkinlau/bert-base-uncased-finetuned-advanced-srl_arg")
    model = AutoModelForTokenClassification.from_pretrained("pakkinlau/bert-base-uncased-finetuned-advanced-srl_arg", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-uncased-finetuned-advanced-srl_arg / runs
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  • 1 contributor
History: 1 commit
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pakkinlau
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