dbmdz/bert-base-turkish-cased

BERTurk is a community-driven cased BERT model for Turkish . The model is trained on a filtered and sentence segmented version of the Turkish OSCAR corpus, a recent Wikipedia dump, various OPUS corpora and a special corpus provided by Kemal Oflazer . The final training corpus has a size of 35GB and 44,04,976,662 tokens . It is possible to download both cased and uncased models from the Hugging Face team's S3 storage . All models are available on the Hugged Face model hub . For results on PoS tagging or NER tasks, please refer to the repository. For questions about our BERT models,