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SinaLab
/
ArabicNER-Wojood

Token Classification
Transformers
TensorBoard
Arabic
bert
fill-mask
Named Entity Recognition
Arabic NER
Nested NER
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use SinaLab/ArabicNER-Wojood with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SinaLab/ArabicNER-Wojood with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="SinaLab/ArabicNER-Wojood")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("SinaLab/ArabicNER-Wojood")
    model = AutoModelForMaskedLM.from_pretrained("SinaLab/ArabicNER-Wojood")
  • Notebooks
  • Google Colab
  • Kaggle
ArabicNER-Wojood / tensorboard /Metrics_test_precision
134 Bytes
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  • 4 contributors
History: 4 commits
naghamghanim's picture
naghamghanim
Upload 11 files
1cee3d6 verified about 2 years ago
  • events.out.tfevents.1710924373.clnt01-x2f14aaa794.543988.8
    134 Bytes
    xet
    Upload 11 files about 2 years ago