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deepset / gelectra-base-generator
Model's Last Updated: September 26 2024
fill-mask
Introduction of gelectra-base-generator
Model Details of gelectra-base-generator
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.
Overview
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
Authors
Branden Chan:
branden.chan [at] deepset.ai
Stefan Schweter:
stefan [at] schweter.eu
Timo Möller:
timo.moeller [at] deepset.ai
About us
We bring NLP to the industry via open source!
Our focus: Industry specific language models & large scale QA systems.
Some of our work:
- German BERT (aka "bert-base-german-cased")
- GermanQuAD and GermanDPR datasets and models (aka "gelectra-base-germanquad", "gbert-base-germandpr")
- FARM
- Haystack
Get in touch: Twitter | LinkedIn | Slack | GitHub Discussions | Website
By the way: we're hiring!
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