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  <h3>Model description</h3>
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- This is a <b>RoBERTa</b> <b>[1]</b> model for the <b>italian</b> language, obtained using <b>XLM-RoBERTa</b> <b>[2]</b> ([xlm-roberta-base](https://huggingface.co/xlm-roberta-base)) as a starting point and focusing it on the italian language by modifying the embedding layer
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  (as in <b>[3]</b>, computing document-level frequencies over the <b>Wikipedia</b> dataset)
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  The resulting model has 125M parameters, a vocabulary of 50.670 tokens, and a size of ~500 MB.
 
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  <h3>Model description</h3>
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+ This is a <b>RoBERTa</b> <b>[1]</b> model for the <b>Italian</b> language, obtained using <b>XLM-RoBERTa</b> <b>[2]</b> ([xlm-roberta-base](https://huggingface.co/xlm-roberta-base)) as a starting point and focusing it on the italian language by modifying the embedding layer
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  (as in <b>[3]</b>, computing document-level frequencies over the <b>Wikipedia</b> dataset)
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  The resulting model has 125M parameters, a vocabulary of 50.670 tokens, and a size of ~500 MB.