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textattack
/
bert-base-uncased-SST-2

Text Classification
Transformers
PyTorch
JAX
bert
Model card Files Files and versions
xet
Community
4

Instructions to use textattack/bert-base-uncased-SST-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use textattack/bert-base-uncased-SST-2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="textattack/bert-base-uncased-SST-2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("textattack/bert-base-uncased-SST-2")
    model = AutoModelForSequenceClassification.from_pretrained("textattack/bert-base-uncased-SST-2")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle

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