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--- |
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language: |
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- ar |
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widget: |
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- text: "ما شفت هدا العنوان هون" |
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- text: "مبقدرش احافظ علي المستوى الدراسي بتاعي" |
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- text: "منين تطلع بهاي السوالف كل يوم" |
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tags: |
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- text classification |
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--- |
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## Arabic-MARBERT-dialect-Identification-City Model |
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#### Model description |
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**arabic-MARBERT-dialect-identification-city Model** is a dialect identification model that was built by fine-tuning the [MARBERT](https://huggingface.co/UBC-NLP/MARBERT) model. For the fine-tuning, I used [MADAR Corpus 26 dataset](https://camel.abudhabi.nyu.edu/madar-shared-task-2019/), which includes 26 labels(cities). |
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#### How to use |
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To use the model with a transformers pipeline: |
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```python |
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>>>from transformers import pipeline |
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>>>model = pipeline('text-classification', model='Ammar-alhaj-ali/arabic-MARBERT-dialect-identification-city') |
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>>>sentences = ['ناطرين البرنامج', 'اكلنا هوا بهل شروة'] |
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>>>model(sentences) |
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[{'label': 'Beirut', 'score': 0.9731963276863098}, |
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{'label': 'Aleppo', 'score': 0.4592577815055847}] |
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