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TomUdale
/
sec_example

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

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

  • Libraries
  • Transformers

    How to use TomUdale/sec_example with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="TomUdale/sec_example")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("TomUdale/sec_example")
    model = AutoModelForTokenClassification.from_pretrained("TomUdale/sec_example")
  • Notebooks
  • Google Colab
  • Kaggle
sec_example
266 MB
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  • 1 contributor
History: 6 commits
TomUdale's picture
TomUdale
Upload tokenizer
64de311 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    67 Bytes
    Create README.md over 3 years ago
  • config.json
    910 Bytes
    Upload DistilBertForTokenClassification over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    266 MB
    xet
    Upload DistilBertForTokenClassification over 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 3 years ago
  • tokenizer.json
    711 kB
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    360 Bytes
    Upload tokenizer over 3 years ago
  • vocab.txt
    232 kB
    Upload tokenizer over 3 years ago