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WYHu
/
cve2cpe_bert

Token Classification
Transformers
PyTorch
TensorBoard
bert
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use WYHu/cve2cpe_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use WYHu/cve2cpe_bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="WYHu/cve2cpe_bert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("WYHu/cve2cpe_bert")
    model = AutoModelForTokenClassification.from_pretrained("WYHu/cve2cpe_bert")
  • Notebooks
  • Google Colab
  • Kaggle
cve2cpe_bert
432 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 21 commits
WYHu's picture
WYHu
End of training
d7ada91 almost 4 years ago
  • ner_no_trainer
    End of training almost 4 years ago
  • .gitattributes
    1.34 kB
    initial commit almost 4 years ago
  • .gitignore
    15 Bytes
    Training in progress epoch 0 almost 4 years ago
  • config.json
    1.11 kB
    Training in progress epoch 0 almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    431 MB
    xet
    End of training almost 4 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress epoch 0 almost 4 years ago
  • tokenizer.json
    669 kB
    Training in progress epoch 0 almost 4 years ago
  • tokenizer_config.json
    347 Bytes
    Training in progress epoch 0 almost 4 years ago
  • vocab.txt
    213 kB
    Training in progress epoch 0 almost 4 years ago