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@@ -41,3 +41,7 @@ You can use this model directly with a pipeline for text classification:
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  [{'label': 'positive', 'score': 0.9863048791885376},
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  {'label': 'negative', 'score': 0.9570127129554749}]
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  ```
 
 
 
 
 
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  [{'label': 'positive', 'score': 0.9863048791885376},
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  {'label': 'negative', 'score': 0.9570127129554749}]
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  ```
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+ ## Code
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+
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+ https://github.com/rasyosef/amharic-sentiment-classification