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Update README.md

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@@ -24,7 +24,7 @@ and play with NER models.
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  <code class="language-python">
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  from tner import TransformersNER
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  model = TransformersNER('tner/roberta-large-conll2003')
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- output = model.prediction(["Jacob Collier is a Grammy awarded English artist from London"])
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  </code>
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  </pre>
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  <code class="language-python">
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  from tner import TransformersNER
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  model = TransformersNER('tner/roberta-large-conll2003')
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+ output = model.prediction(["Jacob Collier is a Grammy awarded artist from London"])
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  </code>
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  </pre>
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