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mmeberg
/
DiDi_PyVulDet_NER

Token Classification
Transformers
PyTorch
distilbert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use mmeberg/DiDi_PyVulDet_NER with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="mmeberg/DiDi_PyVulDet_NER")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mmeberg/DiDi_PyVulDet_NER")
    model = AutoModelForTokenClassification.from_pretrained("mmeberg/DiDi_PyVulDet_NER")
  • Notebooks
  • Google Colab
  • Kaggle
DiDi_PyVulDet_NER
2.06 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
mmeberg's picture
mmeberg
Upload distilbert_tagsandtokens_PADDED.pickle
6e63f2f over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • config.json
    1.04 kB
    Upload DistilBertForTokenClassification almost 3 years ago
  • distilbert_tagsandtokens_PADDED.pickle
    1.8 GB
    xet
    Upload distilbert_tagsandtokens_PADDED.pickle over 2 years ago
  • pytorch_model.bin
    266 MB
    xet
    Upload DistilBertForTokenClassification almost 3 years ago