--- license: apache-2.0 language: - it widget: - text: "Milano è una [MASK] dell'Italia" example_title: "Example 1" - text: "Giacomo Leopardi è stato uno dei più grandi [MASK] del classicismo italiano" example_title: "Example 2" - text: "La pizza è un piatto tipico della [MASK] gastronomica italiana" example_title: "Example 3" --- --------------------------------------------------------------------------------------------------
  
    Model: BERT
    Lang: IT
  
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Model description

This is a BERT [1] model for the Italian language, obtained using mBERT ([bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased)) as a starting point and focusing it on the Italian language by modifying the embedding layer (as in [2], computing document-level frequencies over the Wikipedia dataset) The resulting model has 110M parameters, a vocabulary of 30.785 tokens, and a size of ~430 MB.

Quick usage

```python from transformers import BertTokenizerFast, BertModel tokenizer = BertTokenizerFast.from_pretrained("osiria/bert-base-italian-cased") model = BertModel.from_pretrained("osiria/bert-base-italian-cased") ```

References

[1] https://arxiv.org/abs/1810.04805 [2] https://arxiv.org/abs/2010.05609

License

The model is released under Apache-2.0 license