Update README.md

README.md

@@ -3,25 +3,23 @@ language:
 - ar
 widget:
 - text: "ما شفت هدا العنوان هون"
-  example_title: "مثال1"
 - text: "مبقدرش احافظ علي المستوى الدراسي بتاعي"
-  example_title: "مثال2"
 - text: "منين تطلع بهاي السوالف كل يوم"
-  example_title: "مثال3"
 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')
+>>> did = 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}]
+ {'label': 'Aleppo', 'score': 0.4592577815055847}]
+