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algerian-nlp
/
NUMALIA

Text Classification
Transformers
Safetensors
numalia
dialect-identification
language-identification
algerian-darija
moroccan-darija
tunisian-darija
libyan-arabic
hassaniya
modern-standard-arabic
arabizi
code-switching
conformal-prediction
north-africa
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use algerian-nlp/NUMALIA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use algerian-nlp/NUMALIA with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="algerian-nlp/NUMALIA", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModelForSequenceClassification
    model = AutoModelForSequenceClassification.from_pretrained("algerian-nlp/NUMALIA", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
NUMALIA
20.8 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
ainouche-abderahmane's picture
ainouche-abderahmane
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0461e5e verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
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  • calibration.json
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  • config.json
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  • export_report.json
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  • model.safetensors
    20.8 MB
    xet
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  • modeling_numalia.py
    17.7 kB
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