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WYHu
/
cve2cpe_bert_with_classification_report

Token Classification
Transformers
PyTorch
TensorBoard
bert
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use WYHu/cve2cpe_bert_with_classification_report with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use WYHu/cve2cpe_bert_with_classification_report with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="WYHu/cve2cpe_bert_with_classification_report")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("WYHu/cve2cpe_bert_with_classification_report")
    model = AutoModelForTokenClassification.from_pretrained("WYHu/cve2cpe_bert_with_classification_report")
  • Notebooks
  • Google Colab
  • Kaggle
cve2cpe_bert_with_classification_report / ner_no_trainer /seqeval_f1
4.23 kB
Ctrl+K
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  • 1 contributor
History: 81 commits
WYHu's picture
WYHu
End of training
a95c6d8 about 3 years ago
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