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+ --------------------------------------------------------------------------------------------------
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+ <body>
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+ <span class="vertical-text" style="background-color:lightgreen;border-radius: 3px;padding: 3px;"> </span>
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+ <br>
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+ <span class="vertical-text" style="background-color:orange;border-radius: 3px;padding: 3px;">  </span>
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+ <br>
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+ <span class="vertical-text" style="background-color:lightblue;border-radius: 3px;padding: 3px;">    Model: MiniLM</span>
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+ <br>
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+ <span class="vertical-text" style="background-color:tomato;border-radius: 3px;padding: 3px;">    Lang: IT</span>
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+ <br>
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+ <br>
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+ <span class="vertical-text" style="background-color:#CF9FFF;border-radius: 3px;padding: 3px;"> </span>
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+ </body>
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+ --------------------------------------------------------------------------------------------------
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+ <h3>Model description</h3>
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+ This is a <b>MiniLMv2</b> <b>[1]</b> model for the <b>Italian</b> language, obtained using <b>mMiniLMv2</b> ([L12xH384 mMiniLMv2](https://github.com/microsoft/unilm/tree/master/minilm)) as a starting point and focusing it on the Italian language by modifying the embedding layer
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+ (as in <b>[2]</b>, computing document-level frequencies over the <b>Wikipedia</b> dataset)
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+ The resulting model has 33M parameters, a vocabulary of 30.498 tokens, and a size of ~130 MB.
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+ <h3>References</h3>
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+ [1] https://arxiv.org/abs/2012.15828
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+ [2] https://arxiv.org/abs/2010.05609
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+ <h3>License</h3>
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+ The model is released under <b>MIT</b> license