German ELECTRA base generator

Released, Oct 2020, this is the generator component of the German ELECTRA language model trained collaboratively by the makers of the original German BERT (aka "bert-base-german-cased") and the dbmdz BERT (aka bert-base-german-dbmdz-cased). In our paper, we outline the steps taken to train our model.

The generator is useful for performing masking experiments. If you are looking for a regular language model for embedding extraction, or downstream tasks like NER, classification or QA, please use deepset/gelectra-base.


Paper: here
Architecture: ELECTRA base (generator) Language: German

See also:
deepset/gbert-base deepset/gbert-large deepset/gelectra-base deepset/gelectra-large deepset/gelectra-base-generator deepset/gelectra-large-generator


Branden Chan: branden.chan [at] Stefan Schweter: stefan [at] Timo Möller: timo.moeller [at]

About us

deepset logo

We bring NLP to the industry via open source!
Our focus: Industry specific language models & large scale QA systems.

Some of our work:

Get in touch: Twitter | LinkedIn | Slack | GitHub Discussions | Website

By the way: we're hiring!

Downloads last month
Hosted inference API
Mask token: [MASK]
This model can be loaded on the Inference API on-demand.