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README.md

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 # Twitter September 2020 (RoBERTa-base, 103M)
 
 This is a RoBERTa-base model trained on 102.86M tweets until the end of September 2020.
-More details and performance scores are available in the [TimeLMs paper](https://arxiv.org/pdf/TBD.pdf).
+More details and performance scores are available in the [TimeLMs paper](https://arxiv.org/abs/2202.03829).
 
 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).
 
-For other models trained until different periods, check [https://huggingface.co/cardiffnlp](https://huggingface.co/cardiffnlp).
+For other models trained until different periods, check this [table](https://github.com/cardiffnlp/timelms#released-models).
 
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