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@@ -21,7 +21,7 @@ To use the model with the [CAMeL Tools](https://github.com/CAMeL-Lab/camel_tools
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  >>> sa.predict(sentences)
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  >>> ['positive', 'negative']
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  ```
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- You can also use the NER model directly with a transformers pipeline:
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  ```python
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  >>> from transformers import pipeline
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  >>> sa = pipeline('sentiment-analysis', model='CAMeL-Lab/bert-base-arabic-camelbert-msa-sentiment')
 
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  >>> sa.predict(sentences)
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  >>> ['positive', 'negative']
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  ```
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+ You can also use the SA model directly with a transformers pipeline:
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  ```python
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  >>> from transformers import pipeline
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  >>> sa = pipeline('sentiment-analysis', model='CAMeL-Lab/bert-base-arabic-camelbert-msa-sentiment')