osiria/bert-base-italian-cased

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    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) 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

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