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ElSlay
/
BERT-Phishing-Email-Model

Text Classification
Transformers
Safetensors
English
bert
phishing
email
detection
scam
Model card Files Files and versions
xet
Community

Instructions to use ElSlay/BERT-Phishing-Email-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ElSlay/BERT-Phishing-Email-Model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ElSlay/BERT-Phishing-Email-Model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ElSlay/BERT-Phishing-Email-Model")
    model = AutoModelForSequenceClassification.from_pretrained("ElSlay/BERT-Phishing-Email-Model")
  • Notebooks
  • Google Colab
  • Kaggle
BERT-Phishing-Email-Model
438 MB
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  • 1 contributor
History: 5 commits
ElSlay's picture
ElSlay
Update README.md
708d260 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.95 kB
    Update README.md over 1 year ago
  • config.json
    727 Bytes
    Upload 5 files over 1 year ago
  • model.safetensors
    438 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer_config.json
    1.24 kB
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  • vocab.txt
    232 kB
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