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aseifert
/
distilbert-casing

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

Instructions to use aseifert/distilbert-casing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aseifert/distilbert-casing with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="aseifert/distilbert-casing")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("aseifert/distilbert-casing")
    model = AutoModelForTokenClassification.from_pretrained("aseifert/distilbert-casing")
  • Notebooks
  • Google Colab
  • Kaggle
distilbert-casing
268 MB
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History: 13 commits
system's picture
system HF Staff
Update eval_results.txt
1c532d6 over 5 years ago
  • .gitattributes
    345 Bytes
    initial commit over 5 years ago
  • config.json
    475 Bytes
    Update config.json over 5 years ago
  • eval_results.txt
    121 Bytes
    Update eval_results.txt over 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    267 MB
    xet
    Update pytorch_model.bin over 5 years ago
  • special_tokens_map.json
    112 Bytes
    Update special_tokens_map.json over 5 years ago
  • tokenizer_config.json
    49 Bytes
    Update tokenizer_config.json over 5 years ago
  • training_args.bin

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    1.47 kB
    xet
    Update training_args.bin over 5 years ago
  • vocab.txt
    240 kB
    Update vocab.txt over 5 years ago