readme: ---
  language:
  - ar
  widget:
  - text: "ما شفت هدا العنوان هون"
  - text: "مبقدرش احافظ علي المستوى الدراسي بتاعي"
  - text: "منين تطلع بهاي السوالف كل يوم"
  tags:
  - text classification
  ---
  ## Arabic-MARBERT-dialect-Identification-City Model
  #### Model description
  **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).
  
  #### How to use
  To use the model with a transformers pipeline:
  ```python
  >>>from transformers import pipeline
  >>>model = pipeline('text-classification', model='Ammar-alhaj-ali/arabic-MARBERT-dialect-identification-city')
  >>>sentences = ['ناطرين البرنامج', 'اكلنا هوا بهل شروة']
  >>>model(sentences)
  [{'label': 'Beirut', 'score': 0.9731963276863098},
  {'label': 'Aleppo', 'score': 0.4592577815055847}]
   
  