Instructions to use dbmdz/bert-base-italian-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dbmdz/bert-base-italian-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dbmdz/bert-base-italian-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dbmdz/bert-base-italian-cased") model = AutoModelForMaskedLM.from_pretrained("dbmdz/bert-base-italian-cased", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Citation
#2
by finiteautomata - opened
Hi! I'm using your model in a research paper. Can you tell us what paper should we cite?
Thanks 🤗
Hey @finiteautomata ,
unfortunately, we do not plan to publish a paper about our Italian BERT models, but please feel free to cite our repository 🤗
I've just created a DOI for the model, so it can be citeted with:
@misc{bayerische_staatsbibliothek_2025,
author = { Bayerische Staatsbibliothek and Stefan Schweter },
title = { bert-base-italian-cased (Revision 843e404) },
year = 2025,
url = { https://huggingface.co/dbmdz/bert-base-italian-cased },
doi = { 10.57967/hf/5850 },
publisher = { Hugging Face }
}