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Update README.md

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@@ -20,7 +20,7 @@ tags:
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  This is a XLM-RoBERTa-large model tuned on a corpus of over 156 million tweets in ten languages: English, Spanish, Italian, Portuguese, French, Chinese, Hindi, Arabic, Dutch and Korean.
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  The model has been trained from the original XLM-RoBERTA-large checkpoint for 2 epochs with a batch size of 1024.
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- For best results, please the preprocess the tweets using the following method before passing them to the model:
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  ```python
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  def preprocess(text):
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  new_text = []
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  This is a XLM-RoBERTa-large model tuned on a corpus of over 156 million tweets in ten languages: English, Spanish, Italian, Portuguese, French, Chinese, Hindi, Arabic, Dutch and Korean.
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  The model has been trained from the original XLM-RoBERTA-large checkpoint for 2 epochs with a batch size of 1024.
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+ For best results, preprocess the tweets using the following method before passing them to the model:
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  ```python
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  def preprocess(text):
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  new_text = []