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Update README.md
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README.md
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@@ -31,4 +31,8 @@ Our model can be used thanks to Transformers pipeline for sentiment analysis.
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>>> results = nlp(sentences)
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>>> print(results)
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```
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]
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>>> results = nlp(sentences)
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>>> print(results)
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[{'label': 'positive', 'score': 0.9998133778572083},
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{'label': 'neutral', 'score': 0.9997822642326355},
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{'label': 'negative', 'score': 0.9877365231513977}]
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```
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