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---
license: mit
language:
- it
---
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<span class="vertical-text" style="background-color:lightblue;border-radius: 3px;padding: 3px;"> Model: DeBERTa</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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<h3>Model description</h3>
This is a <b>DeBERTa</b> <b>[1]</b> model for the <b>Italian</b> language, obtained using <b>mDeBERTa</b> ([mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base)) 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 124M parameters, a vocabulary of 50.256 tokens, and a size of ~500 MB.
<h3>Quick usage</h3>
```python
from transformers import DebertaV2TokenizerFast, DebertaV2Model
tokenizer = DebertaV2TokenizerFast.from_pretrained("osiria/deberta-base-italian")
model = DebertaV2Model.from_pretrained("osiria/deberta-base-italian")
```
<h3>References</h3>
[1] https://arxiv.org/abs/2006.03654
[2] https://arxiv.org/abs/2010.05609
<h3>License</h3>
The model is released under <b>MIT</b> license
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