Instructions to use dbmdz/bert-base-german-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dbmdz/bert-base-german-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dbmdz/bert-base-german-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dbmdz/bert-base-german-cased") model = AutoModelForMaskedLM.from_pretrained("dbmdz/bert-base-german-cased") - Inference
- Notebooks
- Google Colab
- Kaggle
Request: DOI
#4
by Farnod95 - opened
How can i cite this BERT model in a paper.
Hi @Farnod95 ,
thanks for your interest and using our model! Other papers were (also) quoting our GitHub repo (https://github.com/dbmdz/berts), but I will create now a DOI for this model here, as it can be easily done as part of a Model Hub feature :)
The DOI is here - and it can be used with:
@misc {bayerische_staatsbibliothek_2025,
author = { {Bayerische Staatsbibliothek} },
title = { bert-base-german-cased (Revision 43cce13) },
year = 2025,
url = { https://huggingface.co/dbmdz/bert-base-german-cased },
doi = { 10.57967/hf/4377 },
publisher = { Hugging Face }
}