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adhit-420
/
bert-phishing-classifier

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

Instructions to use adhit-420/bert-phishing-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use adhit-420/bert-phishing-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="adhit-420/bert-phishing-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("adhit-420/bert-phishing-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("adhit-420/bert-phishing-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
bert-phishing-classifier
439 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
adhit-420's picture
adhit-420
updated citation and added yaml meta data
711ff92 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    2.15 kB
    updated citation and added yaml meta data about 1 year ago
  • config.json
    858 Bytes
    Upload BertForSequenceClassification about 1 year ago
  • model.safetensors
    438 MB
    xet
    Upload BertForSequenceClassification about 1 year ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer.json
    711 kB
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.33 kB
    Upload tokenizer about 1 year ago
  • vocab.txt
    232 kB
    Upload tokenizer about 1 year ago