Update README.md

README.md

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 #### Model description
 **Arabic-MARBERT-Sentiment Model** is a Sentiment analysis model that was built by fine-tuning the [MARBERT](https://huggingface.co/UBC-NLP/MARBERT) model. For the fine-tuning, I used [KAUST dataset](https://www.kaggle.com/competitions/arabic-sentiment-analysis-2021-kaust), which includes 3 labels(positive,negative,and neutral).
 
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 #### 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-sentiment')
-sentences = ['لقد استمتعت بالحفلة', 'خدمة المطعم كانت محبطة']
-model(sentences)
+>>>from transformers import pipeline
+>>>model = pipeline('text-classification', model='Ammar-alhaj-ali/arabic-MARBERT-sentiment')
+>>>sentences = ['لقد استمتعت بالحفلة', 'خدمة المطعم كانت محبطة']
+>>>model(sentences)
 [{'label': 'positive', 'score': 0.9577557444572449},
- {'label': 'negative', 'score': 0.9158180952072144}]
+{'label': 'negative', 'score': 0.9158180952072144}]
+