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austinb
/
fraud_text_detection

Text Classification
Transformers
PyTorch
ONNX
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use austinb/fraud_text_detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="austinb/fraud_text_detection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("austinb/fraud_text_detection")
    model = AutoModelForSequenceClassification.from_pretrained("austinb/fraud_text_detection")
  • Notebooks
  • Google Colab
  • Kaggle
fraud_text_detection / onnx
336 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
austinb's picture
austinb
Moving onnx files
e8ae92c over 2 years ago
  • model.onnx
    268 MB
    xet
    Moving onnx files over 2 years ago
  • model_quantized.onnx
    67.6 MB
    xet
    Moving onnx files over 2 years ago