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bert-base-italian-cased

Model card Files Files and versions

Model: BERT
Lang: IT

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

Downloads last month: 14

Safetensors

Model size

0.1B params

Tensor type

I64

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F32

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Collection including osiria/bert-base-italian-cased

Osiria "Earth" Series 🌱

This collection is composed of robust and reliable models for common NLP tasks • 10 items • Updated Dec 9, 2023 • 1

Papers for osiria/bert-base-italian-cased

Load What You Need: Smaller Versions of Multilingual BERT

Paper • 2010.05609 • Published Oct 12, 2020 • 1

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 28