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codechrl
/
bert-mid-cybersecurity

Fill-Mask
Transformers
Safetensors
PyTorch
English
Indonesian
bert
text-classification
token-classification
cybersecurity
named-entity-recognition
tensorflow
masked-language-modeling
Model card Files Files and versions
xet
Community

Instructions to use codechrl/bert-mid-cybersecurity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use codechrl/bert-mid-cybersecurity with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="codechrl/bert-mid-cybersecurity")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("codechrl/bert-mid-cybersecurity")
    model = AutoModelForMaskedLM.from_pretrained("codechrl/bert-mid-cybersecurity")
  • Notebooks
  • Google Colab
  • Kaggle
bert-mid-cybersecurity
51.9 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
codechrl's picture
codechrl
Training update: 0/628,296 rows (0.00%) | +2 new @ 2026-04-16 02:44:53
5a6981e verified 20 days ago
  • .gitattributes
    1.52 kB
    initial commit 20 days ago
  • README.md
    3.43 kB
    Training update: 0/628,296 rows (0.00%) | +2 new @ 2026-04-16 02:44:53 20 days ago
  • config.json
    715 Bytes
    Training update: 0/628,296 rows (0.00%) | +2 new @ 2026-04-16 02:44:53 20 days ago
  • model.safetensors
    51.1 MB
    xet
    Training update: 0/628,296 rows (0.00%) | +2 new @ 2026-04-16 02:44:53 20 days ago
  • tokenizer.json
    712 kB
    Training update: 0/628,296 rows (0.00%) | +2 new @ 2026-04-16 02:44:53 20 days ago
  • tokenizer_config.json
    442 Bytes
    Training update: 0/628,296 rows (0.00%) | +2 new @ 2026-04-16 02:44:53 20 days ago
  • training_metadata.json
    337 Bytes
    Training update: 0/628,296 rows (0.00%) | +2 new @ 2026-04-16 02:44:53 20 days ago