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bert-base-arabic-camelbert-mix-sentiment

Text Classification
Transformers
PyTorch
TensorFlow
Arabic
bert
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@@ -30,7 +30,9 @@ You can also use the SA model directly with a transformers pipeline:
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  [{'label': 'positive', 'score': 0.9616648554801941},
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  {'label': 'negative', 'score': 0.9779177904129028}]
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  ```
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- *Note*: to download our models, you would need `transformers>=3.5.0`. Otherwise, you could download the models
 
 
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  ## Citation
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  ```bibtex
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  @inproceedings{inoue-etal-2021-interplay,
 
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  [{'label': 'positive', 'score': 0.9616648554801941},
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  {'label': 'negative', 'score': 0.9779177904129028}]
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  ```
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+ *Note*: to download our models, you would need `transformers>=3.5.0`.
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+ Otherwise, you could download the models manually.
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+
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  ## Citation
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  ```bibtex
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  @inproceedings{inoue-etal-2021-interplay,