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pogzyb
/
markuplm-phish

Text Classification
Transformers
Safetensors
markuplm
Model card Files Files and versions
xet
Community

Instructions to use pogzyb/markuplm-phish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pogzyb/markuplm-phish with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="pogzyb/markuplm-phish")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSequenceClassification
    
    processor = AutoProcessor.from_pretrained("pogzyb/markuplm-phish")
    model = AutoModelForSequenceClassification.from_pretrained("pogzyb/markuplm-phish")
  • Notebooks
  • Google Colab
  • Kaggle
markuplm-phish
544 MB
Ctrl+K
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  • 1 contributor
History: 7 commits
pogzyb's picture
pogzyb
Update README.md
20b76b3 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    720 Bytes
    Update README.md about 2 years ago
  • added_tokens.json
    55 Bytes
    Add custom processor about 2 years ago
  • config.json
    1.06 kB
    Add phish model about 2 years ago
  • merges.txt
    456 kB
    Add custom processor about 2 years ago
  • model.safetensors
    541 MB
    xet
    Add phish model about 2 years ago
  • preprocessor_config.json
    183 Bytes
    Add custom processor about 2 years ago
  • processor.py
    3.24 kB
    Add custom processor about 2 years ago
  • processor_config.json
    127 Bytes
    Add custom processor about 2 years ago
  • special_tokens_map.json
    964 Bytes
    Add custom processor about 2 years ago
  • tokenizer.json
    2.11 MB
    Add custom processor about 2 years ago
  • tokenizer_config.json
    5.9 kB
    Add custom processor about 2 years ago
  • vocab.json
    798 kB
    Add custom processor about 2 years ago