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Arabic-MARBERT-Sentiment Model

Model description

Arabic-MARBERT-Sentiment Model is a Sentiment analysis model that was built by fine-tuning the MARBERT model. For the fine-tuning, I used KAUST dataset, which includes 3 labels(positive,negative,and neutral).

How to use

To use the model with a transformers pipeline:

>>>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}]
 
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