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license: mit |
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language: |
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- it |
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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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<span class="vertical-text" style="background-color:orange;border-radius: 3px;padding: 3px;"> Cross Encoding</span> |
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<span class="vertical-text" style="background-color:lightblue;border-radius: 3px;padding: 3px;"> Model: MiniLM</span> |
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<span class="vertical-text" style="background-color:tomato;border-radius: 3px;padding: 3px;"> Lang: IT</span> |
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</body> |
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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 [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 |
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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 |
