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arabic-MARBERT-sentiment
Ammar-alhaj-ali/arabic-MARBERT-sentiment
arabic-MARBERT-sentiment is a text classification model from Ammar-alhaj-ali. Use it when you need a label for a piece of text. It is set up for transformers.
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).
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Aug 7, 2022
- Updated
- Aug 9, 2022
- SHA
- db063587
Try a prompt
Model card
From the Hugging Face model README
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}]
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- ar
- Created
- Aug 7, 2022
- Updated
- Aug 9, 2022