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  - text: "لكي نتجنب فيروس [MASK]"
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- # arabert_c19: [Arxiv URL](https://arxiv.org/pdf/2105.03143.pdf) is an Arabert model pretrained on 1.5 million COVID-19 multi-dialect Arabic tweets
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- **ARABERT COVID-19** is a pretrained (fine-tuned) version of the AraBERT v2 model (https://huggingface.co/aubmindlab/bert-base-arabertv02). The pretraining was done using 1.5 million multi-dialect Arabic tweets regarding the COVID-19 pandemic from the “Large Arabic Twitter Dataset on COVID-19” (https://arxiv.org/abs/2004.04315).
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  The model can achieve better results for the tasks that deal with multi-dialect Arabic tweets in relation to the COVID-19 pandemic.
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  # Classification results for multiple tasks including fake-news and hate speech detection when using arabert_c19 and mbert_ar_c19:
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+ # arabert_c19: An Arabert model pretrained on 1.5 million COVID-19 multi-dialect Arabic tweets
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+ **ARABERT COVID-19** [Arxiv URL](https://arxiv.org/pdf/2105.03143.pdf) is a pretrained (fine-tuned) version of the AraBERT v2 model (https://huggingface.co/aubmindlab/bert-base-arabertv02). The pretraining was done using 1.5 million multi-dialect Arabic tweets regarding the COVID-19 pandemic from the “Large Arabic Twitter Dataset on COVID-19” (https://arxiv.org/abs/2004.04315).
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  The model can achieve better results for the tasks that deal with multi-dialect Arabic tweets in relation to the COVID-19 pandemic.
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  # Classification results for multiple tasks including fake-news and hate speech detection when using arabert_c19 and mbert_ar_c19: