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  # Twitter 2021 124M (RoBERTa-base)
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- This is a RoBERTa-base model trained on 124M tweets until the end of 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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  # Twitter 2021 124M (RoBERTa-base)
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+ This is a RoBERTa-base model trained on 123.86M tweets until the end of 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).