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README.md
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@@ -46,8 +46,7 @@ pipe = pipeline('text-classification', model="cardiffnlp/twitter-roberta-large-t
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predictions = pipe(text)[0]
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predictions = [x for x in predictions if x['score'] > 0.5]
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predictions
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>> [{'label': '
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{'label': 'sports', 'score': 0.5215537548065186}]
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```
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## Citation Information
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predictions = pipe(text)[0]
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predictions = [x for x in predictions if x['score'] > 0.5]
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predictions
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>> [{'label': 'sports', 'score': 0.99379563331604}]
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```
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## Citation Information
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