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varsha12
/
BERT_DNRTI

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

Instructions to use varsha12/BERT_DNRTI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use varsha12/BERT_DNRTI with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="varsha12/BERT_DNRTI")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("varsha12/BERT_DNRTI")
    model = AutoModelForTokenClassification.from_pretrained("varsha12/BERT_DNRTI")
  • Notebooks
  • Google Colab
  • Kaggle
BERT_DNRTI
438 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 20 commits
varsha12's picture
varsha12
Upload config.json
fdd9ff8 almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit about 4 years ago
  • README.md
    25 Bytes
    initial commit about 4 years ago
  • config.json
    2 kB
    Upload config.json almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    438 MB
    xet
    Upload pytorch_model.bin almost 4 years ago
  • vocab.txt
    232 kB
    Upload vocab.txt almost 4 years ago