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danitamayo
/
bert-cybersecurity-NER

Token Classification
Transformers
PyTorch
distilbert
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use danitamayo/bert-cybersecurity-NER with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="danitamayo/bert-cybersecurity-NER")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("danitamayo/bert-cybersecurity-NER")
    model = AutoModelForTokenClassification.from_pretrained("danitamayo/bert-cybersecurity-NER")
  • Notebooks
  • Google Colab
  • Kaggle
bert-cybersecurity-NER
267 MB
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  • 1 contributor
History: 25 commits
danitamayo's picture
danitamayo
Update README.md
9a7d130 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    2.96 kB
    Update README.md about 3 years ago
  • config.json
    1.66 kB
    Upload DistilBertForTokenClassification about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    266 MB
    xet
    Upload DistilBertForTokenClassification about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer.json
    712 kB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    315 Bytes
    Upload tokenizer about 3 years ago
  • vocab.txt
    232 kB
    Upload tokenizer about 3 years ago