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takumi123xxx
/
phishing-email-detector-deberta-v3

Text Classification
Transformers
Safetensors
English
deberta-v2
phishing-detection
email-security
deberta-v3
Model card Files Files and versions
xet
Community

Instructions to use takumi123xxx/phishing-email-detector-deberta-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use takumi123xxx/phishing-email-detector-deberta-v3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="takumi123xxx/phishing-email-detector-deberta-v3")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("takumi123xxx/phishing-email-detector-deberta-v3")
    model = AutoModelForSequenceClassification.from_pretrained("takumi123xxx/phishing-email-detector-deberta-v3")
  • Notebooks
  • Google Colab
  • Kaggle
phishing-email-detector-deberta-v3
1.74 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
takumi123xxx's picture
takumi123xxx
Upload optimal_threshold.txt with huggingface_hub
940d6c0 verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    3.26 kB
    Upload README.md with huggingface_hub 6 months ago
  • added_tokens.json
    23 Bytes
    Upload tokenizer 6 months ago
  • config.json
    982 Bytes
    Upload DebertaV2ForSequenceClassification 6 months ago
  • model.safetensors
    1.74 GB
    xet
    Upload DebertaV2ForSequenceClassification 6 months ago
  • optimal_threshold.txt
    119 Bytes
    Upload optimal_threshold.txt with huggingface_hub 6 months ago
  • special_tokens_map.json
    286 Bytes
    Upload tokenizer 6 months ago
  • spm.model
    2.46 MB
    xet
    Upload tokenizer 6 months ago
  • tokenizer_config.json
    1.32 kB
    Upload tokenizer 6 months ago