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tunis-ai
/
TunBERT

Text Classification
Transformers
PyTorch
Safetensors
Arabic
bert
custom_code
text-embeddings-inference
Model card Files Files and versions
xet
Community
7

Instructions to use tunis-ai/TunBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tunis-ai/TunBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="tunis-ai/TunBERT", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tunis-ai/TunBERT", trust_remote_code=True)
    model = AutoModelForSequenceClassification.from_pretrained("tunis-ai/TunBERT", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

The tokenizer vocab contains mosly English words and latin script rather than Arabic

1
#6 opened 12 months ago by
issam9
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