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CAMeL-Lab
/
bert-base-arabic-camelbert-da-sentiment

Text Classification
Transformers
PyTorch
google-tensorflow TensorFlow
Arabic
bert
Model card Files Files and versions
xet
Community
5

Instructions to use CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment")
    model = AutoModelForSequenceClassification.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Can we do the i‘rab for Arabic sentence?"

#5 opened 9 months ago by
AbodiNajdat

[AUTOMATED] Model Memory Requirements

#4 opened about 2 years ago by
model-sizer-bot

Adding `safetensors` variant of this model

#2 opened about 2 years ago by
Fahrrader

Adding `safetensors` variant of this model

#1 opened about 3 years ago by
SFconvertbot
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