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  # Twitter June 2021 (RoBERTa-base, 115M)
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  This is a RoBERTa-base model trained on 115.46M tweets until the end of June 2021.
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- More details and performance scores are available in the [TimeLMs paper](https://arxiv.org/pdf/TBD.pdf).
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  Below, we provide some usage examples using the standard Transformers interface. For another interface more suited to comparing predictions and perplexity scores between models trained at different temporal intervals, check the [TimeLMs repository](https://github.com/cardiffnlp/timelms).
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- For other models trained until different periods, check [https://huggingface.co/cardiffnlp](https://huggingface.co/cardiffnlp).
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  ## Preprocess Text
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  Replace usernames and links for placeholders: "@user" and "http".
 
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  # Twitter June 2021 (RoBERTa-base, 115M)
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  This is a RoBERTa-base model trained on 115.46M tweets until the end of June 2021.
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+ More details and performance scores are available in the [TimeLMs paper](https://arxiv.org/abs/2202.03829).
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  Below, we provide some usage examples using the standard Transformers interface. For another interface more suited to comparing predictions and perplexity scores between models trained at different temporal intervals, check the [TimeLMs repository](https://github.com/cardiffnlp/timelms).
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+ For other models trained until different periods, check this [table](https://github.com/cardiffnlp/timelms#released-models).
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  ## Preprocess Text
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  Replace usernames and links for placeholders: "@user" and "http".