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---
license: mit
language:
- it
---

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<body>
<span class="vertical-text" style="background-color:lightgreen;border-radius: 3px;padding: 3px;"></span>
<br>
<span class="vertical-text" style="background-color:orange;border-radius: 3px;padding: 3px;">  Cross Encoding</span>
<br>
<span class="vertical-text" style="background-color:lightblue;border-radius: 3px;padding: 3px;">    Model: MiniLM</span>
<br>
<span class="vertical-text" style="background-color:tomato;border-radius: 3px;padding: 3px;">    Lang: IT</span>
<br>
<span class="vertical-text" style="background-color:lightgrey;border-radius: 3px;padding: 3px;">  </span>
<br>
<span class="vertical-text" style="background-color:#CF9FFF;border-radius: 3px;padding: 3px;"></span>
</body>

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<h3>Model description</h3>

This is a <b>MiniLMv2</b> <b>[1]</b> model for the <b>Italian</b> language, obtained using [mmarco-mMiniLMv2-L12-H384-v1](https://huggingface.co/nreimers/mmarco-mMiniLMv2-L12-H384-v1) as a starting point and focusing it on the Italian language by modifying the embedding layer 
(as in <b>[2]</b>, computing document-level frequencies over the <b>Wikipedia</b> dataset)

The resulting model has 33M parameters, a vocabulary of 30.498 tokens, and a size of ~130 MB.

<h3>References</h3>

[1] https://arxiv.org/abs/2012.15828

[2] https://arxiv.org/abs/2010.05609

<h3>License</h3>

The model is released under <b>MIT</b> license