Instructions to use osiria/bert-base-italian-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use osiria/bert-base-italian-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="osiria/bert-base-italian-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("osiria/bert-base-italian-uncased") model = AutoModelForMaskedLM.from_pretrained("osiria/bert-base-italian-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
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
Type: Uncased
Model description
This is an uncased BERT [1] model for the Italian language, obtained using the uncased mBERT (bert-base-multilingual-uncased) 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 30.154 tokens, and a size of ~430 MB.
Quick usage
from transformers import BertTokenizerFast, BertModel
tokenizer = BertTokenizerFast.from_pretrained("osiria/bert-base-italian-uncased")
model = BertModel.from_pretrained("osiria/bert-base-italian-uncased")
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