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SinaLab
/
ArabicWojood-FlatNER

Token Classification
Transformers
PyTorch
Arabic
bert
fill-mask
Named Entity Recognition
Arabic NER
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use SinaLab/ArabicWojood-FlatNER with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="SinaLab/ArabicWojood-FlatNER")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("SinaLab/ArabicWojood-FlatNER")
    model = AutoModelForMaskedLM.from_pretrained("SinaLab/ArabicWojood-FlatNER")
  • Notebooks
  • Google Colab
  • Kaggle
ArabicWojood-FlatNER
3.24 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 25 commits
naghamghanim's picture
naghamghanim
Update config.json
48a5983 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.29 kB
    Update README.md over 2 years ago
  • args.json
    1.28 kB
    flat ner over 2 years ago
  • config.json
    1.91 kB
    Update config.json over 2 years ago
  • predictions.txt
    1.8 MB
    flat ner over 2 years ago
  • pytorch_model.bin
    1.62 GB
    xet
    Rename model.pt to pytorch_model.bin over 2 years ago
  • pytorch_model_arch.bin
    1.62 GB
    xet
    Rename pytorch_model.bin to pytorch_model_arch.bin over 2 years ago
  • special_tokens_map.json
    112 Bytes
    Upload 6 files over 2 years ago
  • tag_vocab.pkl
    3.78 kB
    xet
    Upload tag_vocab.pkl over 2 years ago
  • tag_vocab_arc.pkl
    3.78 kB
    xet
    Rename tag_vocab.pkl to tag_vocab_arc.pkl over 2 years ago
  • tokenizer.json
    837 kB
    Upload 3 files over 2 years ago
  • tokenizer_config.json
    411 Bytes
    Upload 3 files over 2 years ago
  • vocab.txt
    334 kB
    Upload 3 files over 2 years ago