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akoksal
/
name_anonymization

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

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

  • Libraries
  • Transformers

    How to use akoksal/name_anonymization with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="akoksal/name_anonymization")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("akoksal/name_anonymization")
    model = AutoModelForTokenClassification.from_pretrained("akoksal/name_anonymization")
  • Notebooks
  • Google Colab
  • Kaggle
name_anonymization
441 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
akoksal's picture
akoksal
Update README.md
f41500c about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    342 Bytes
    Update README.md about 3 years ago
  • config.json
    794 Bytes
    Upload BertForTokenClassification about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    440 MB
    xet
    Upload BertForTokenClassification about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer.json
    755 kB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    431 Bytes
    Upload tokenizer about 3 years ago
  • vocab.txt
    251 kB
    Upload tokenizer about 3 years ago