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Podric
/
prowl-secret-encoder

Text Classification
Transformers
Safetensors
distilbert
security
secret-detection
credentials
dlp
code
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Podric/prowl-secret-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Podric/prowl-secret-encoder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Podric/prowl-secret-encoder")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Podric/prowl-secret-encoder")
    model = AutoModelForSequenceClassification.from_pretrained("Podric/prowl-secret-encoder")
  • Notebooks
  • Google Colab
  • Kaggle
prowl-secret-encoder
544 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
asdfasdfqrqwer's picture
asdfasdfqrqwer
docs: replace typographic AI-tells with plain ASCII
5a45a8c 8 days ago
  • .gitattributes
    1.56 kB
    add logo + card 13 days ago
  • README.md
    5.46 kB
    docs: replace typographic AI-tells with plain ASCII 8 days ago
  • config.json
    639 Bytes
    Prowl stage-3 multilingual secret encoder + card 13 days ago
  • logo.png
    64.9 kB
    xet
    transparent logo (fixes white box on dark theme) 13 days ago
  • model.safetensors
    541 MB
    xet
    Prowl stage-3 multilingual secret encoder + card 13 days ago
  • tokenizer.json
    2.92 MB
    Prowl stage-3 multilingual secret encoder + card 13 days ago
  • tokenizer_config.json
    352 Bytes
    Prowl stage-3 multilingual secret encoder + card 13 days ago