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s3h
/
arabic-token-ged-arabert

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

Instructions to use s3h/arabic-token-ged-arabert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use s3h/arabic-token-ged-arabert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="s3h/arabic-token-ged-arabert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("s3h/arabic-token-ged-arabert")
    model = AutoModelForTokenClassification.from_pretrained("s3h/arabic-token-ged-arabert")
  • Notebooks
  • Google Colab
  • Kaggle
arabic-token-ged-arabert
542 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
root
added the model
6407a50 almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • config.json
    670 Bytes
    added the model almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    541 MB
    xet
    added the model almost 4 years ago
  • special_tokens_map.json
    112 Bytes
    added the model almost 4 years ago
  • tokenizer_config.json
    86 Bytes
    added the model almost 4 years ago
  • vocab.txt
    780 kB
    added the model almost 4 years ago