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Neurona
/
cpener-test

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

Instructions to use Neurona/cpener-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Neurona/cpener-test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Neurona/cpener-test")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Neurona/cpener-test")
    model = AutoModelForTokenClassification.from_pretrained("Neurona/cpener-test")
  • Notebooks
  • Google Colab
  • Kaggle
cpener-test
266 MB
Ctrl+K
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  • 1 contributor
History: 10 commits
Neurona's picture
Neurona
Update README.md
72e3ec5 over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • README.md
    140 Bytes
    Update README.md over 3 years ago
  • config.json
    894 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
    112 Bytes
    add tokenizer over 3 years ago
  • tokenizer.json
    711 kB
    add tokenizer over 3 years ago
  • tokenizer_config.json
    339 Bytes
    add tokenizer over 3 years ago
  • vocab.txt
    232 kB
    add tokenizer over 3 years ago