CAMeL-Lab
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bert-base-arabic-camelbert-msa-sentiment

Text Classification

Model card Files Files and versions

go-inoue commited on Oct 15, 2021

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@@ -24,7 +24,7 @@ To use the model with the [CAMeL Tools](https://github.com/CAMeL-Lab/camel_tools
 You can also use the NER model directly with a transformers pipeline:
 ```python
 >>> from transformers import pipeline
->>> sa = pipeline('text-classification', model='CAMeL-Lab/bert-base-arabic-camelbert-msa-sentiment')
 >>> sentences = ['أنا بخير', 'أنا لست بخير']
 >>> sa(sentences)
 [{'label': 'positive', 'score': 0.9616648554801941},

 You can also use the NER model directly with a transformers pipeline:
 ```python
 >>> from transformers import pipeline
+>>> sa = pipeline('sentiment-analysis', model='CAMeL-Lab/bert-base-arabic-camelbert-msa-sentiment')
 >>> sentences = ['أنا بخير', 'أنا لست بخير']
 >>> sa(sentences)
 [{'label': 'positive', 'score': 0.9616648554801941},