dbmdz/bert-base-turkish-uncased

BERTurk is a community-driven uncased 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 Google's TensorFlow Research Cloud (TFRC) All models are available on the Huggingface model hub, and results on PoS tagging or NER tasks are available here . For questions about our BERT models just open,