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bthomas279
/
scam-detector

Text Classification
Transformers
ONNX
PyTorch
English
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use bthomas279/scam-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bthomas279/scam-detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="bthomas279/scam-detector")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("bthomas279/scam-detector")
    model = AutoModelForSequenceClassification.from_pretrained("bthomas279/scam-detector", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
scam-detector
87.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
bthomas279's picture
bthomas279
Update README.md
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  • merges.txt
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  • ort_config.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.json
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