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@@ -51,6 +51,7 @@ pipeline_tag: question-answering
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  <h3>Model description</h3>
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  This is a <b>DeBERTa</b> <b>[1]</b> model for the <b>Italian</b> language, fine-tuned for <b>Extractive Question Answering</b> on the [SQuAD-IT](https://huggingface.co/datasets/squad_it) dataset <b>[2]</b>.
 
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  <h3>Training and Performances</h3>
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  <h3>Model description</h3>
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  This is a <b>DeBERTa</b> <b>[1]</b> model for the <b>Italian</b> language, fine-tuned for <b>Extractive Question Answering</b> on the [SQuAD-IT](https://huggingface.co/datasets/squad_it) dataset <b>[2]</b>.
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+ The model is trained with an enhanced procedure that delivers top-level performance and reliability. The latest upgrade, code-name <b>LITEQA</b>, offers increased robustness and maintains optimal results even in uncased settings.
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  <h3>Training and Performances</h3>
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