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  # Twitter-XLM-Roberta-base
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- This is a XLM-Roberta-base model trained on ~198M multilingual tweets, described and evaluated in the [reference paper](https://arxiv.org/abs/2104.12250). To evaluate this and other LMs on Twitter-specific data, please refer to the [main repository](https://github.com/cardiffnlp/xlm-t).
 
 
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- ## Preprocess Text
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- Replace usernames and links for placeholders: "@user" and "http".
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  ```python
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  def preprocess(text):
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  new_text = []
 
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  # Twitter-XLM-Roberta-base
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+ This is a XLM-Roberta-base model trained on ~198M multilingual tweets, described and evaluated in the [reference paper](https://arxiv.org/abs/2104.12250). To evaluate this and other LMs on Twitter-specific data, please refer to the [main repository](https://github.com/cardiffnlp/xlm-t). A usage example is provided below.
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+ ## Computing tweet similarity
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  ```python
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  def preprocess(text):
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  new_text = []