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Jagannath
/
phishNet

Text Classification
Transformers
google-tensorflow TensorFlow
distilbert
generated_from_keras_callback
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Jagannath/phishNet with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Jagannath/phishNet")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Jagannath/phishNet")
    model = AutoModelForSequenceClassification.from_pretrained("Jagannath/phishNet")
  • Notebooks
  • Google Colab
  • Kaggle
phishNet
269 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Jagannath's picture
Jagannath
Upload TFDistilBertForSequenceClassification
9ca9854 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    834 Bytes
    Upload TFDistilBertForSequenceClassification almost 3 years ago
  • config.json
    525 Bytes
    Upload TFDistilBertForSequenceClassification almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer almost 3 years ago
  • tf_model.h5
    268 MB
    xet
    Upload TFDistilBertForSequenceClassification almost 3 years ago
  • tokenizer.json
    712 kB
    Upload tokenizer almost 3 years ago
  • tokenizer_config.json
    320 Bytes
    Upload tokenizer almost 3 years ago
  • vocab.txt
    232 kB
    Upload tokenizer almost 3 years ago