readme: ---
  language:
  - ar
  widget:
  - text: "لقد كان الاحتفال رائع"
  - text: "هناك بعض القوانين التي يجب تغيرها"
  - text: "الخدمة كانت سيئة"
  tags:
  - text classification
  - Sentiment
  ---
  ## Arabic-MARBERT-Sentiment Model
  #### 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).
  
  
  #### 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)
  [{'label': 'positive', 'score': 0.9577557444572449},
  {'label': 'negative', 'score': 0.9158180952072144}]
   
  