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textattack
/
distilbert-base-uncased-QNLI

Text Classification
Transformers
PyTorch
distilbert
Model card Files Files and versions
xet
Community
1

Instructions to use textattack/distilbert-base-uncased-QNLI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use textattack/distilbert-base-uncased-QNLI with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="textattack/distilbert-base-uncased-QNLI")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("textattack/distilbert-base-uncased-QNLI")
    model = AutoModelForSequenceClassification.from_pretrained("textattack/distilbert-base-uncased-QNLI", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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