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imanoop7
/
bert-phishing-detector

Text Classification
Transformers
Safetensors
English
bert
phishing
url-classification
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use imanoop7/bert-phishing-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use imanoop7/bert-phishing-detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="imanoop7/bert-phishing-detector")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("imanoop7/bert-phishing-detector")
    model = AutoModelForSequenceClassification.from_pretrained("imanoop7/bert-phishing-detector")
  • Notebooks
  • Google Colab
  • Kaggle
bert-phishing-detector
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  • 1 contributor
History: 6 commits
imanoop7's picture
imanoop7
Update README.md
a4a9307 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.26 kB
    Update README.md over 1 year ago
  • config.json
    846 Bytes
    Upload BertForSequenceClassification over 1 year ago
  • model.safetensors
    438 MB
    xet
    Upload BertForSequenceClassification over 1 year ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 1 year ago
  • tokenizer.json
    711 kB
    Upload tokenizer over 1 year ago
  • tokenizer_config.json
    1.19 kB
    Upload tokenizer over 1 year ago
  • vocab.txt
    232 kB
    Upload tokenizer over 1 year ago