dbmdz/bert-base-turkish-128k-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 Google's TensorFlow Research Cloud (TFRC) for 2M steps . For results on PoS tagging or NER tasks, please refer to this repository . All models are available on the Huggingface model hub . For,