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froggydood
/
deberta-stance-detection

Text Classification
Transformers
Safetensors
English
deberta-v2
stance detection
Model card Files Files and versions
xet
Community

Instructions to use froggydood/deberta-stance-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use froggydood/deberta-stance-detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="froggydood/deberta-stance-detection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("froggydood/deberta-stance-detection")
    model = AutoModelForSequenceClassification.from_pretrained("froggydood/deberta-stance-detection")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-stance-detection / datasets
1.26 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
froggydood's picture
froggydood
Initial model output
b53369f about 2 years ago
  • info.txt
    86 Bytes
    Initial model output about 2 years ago
  • test.csv
    503 kB
    Initial model output about 2 years ago
  • train.csv
    753 kB
    Initial model output about 2 years ago