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HagalazAI
/
RedSecureBERT

Text Classification
Transformers
Safetensors
roberta
security
red-team
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use HagalazAI/RedSecureBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="HagalazAI/RedSecureBERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("HagalazAI/RedSecureBERT")
    model = AutoModelForSequenceClassification.from_pretrained("HagalazAI/RedSecureBERT", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
RedSecureBERT
3.51 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 27 commits
HagalazAI's picture
HagalazAI
Update README.md
ea7a817 verified over 1 year ago
  • checkpoint-3600
    Add RedSecureBERT weights & tokenizer v1.0 over 1 year ago
  • checkpoint-3804
    Add RedSecureBERT weights & tokenizer v1.0 over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    9.11 kB
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  • config.json
    686 Bytes
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  • merges.txt
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  • model.safetensors
    499 MB
    xet
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  • special_tokens_map.json
    957 Bytes
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  • tokenizer.json
    3.59 MB
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  • tokenizer_config.json
    1.26 kB
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  • training_args.bin
    5.5 kB
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    Add RedSecureBERT weights & tokenizer v1.0 over 1 year ago
  • vocab.json
    815 kB
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