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Update README.md

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@@ -39,7 +39,7 @@ The mT5-multilingual-XLSum model was fine-tuned on the UA-News dataset to genera
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  ```python
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  from transformers import pipeline
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- summarizer = pipeline("summarization", model="yelyah/mT5-XLSUM-ua-news ")
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  article = "Your news article text here."
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  summary = summarizer(article)
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  print(summary)
 
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  ```python
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  from transformers import pipeline
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+ summarizer = pipeline("summarization", model="yelyah/mT5-XLSUM-ua-news")
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  article = "Your news article text here."
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  summary = summarizer(article)
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  print(summary)