🤗 + 📚 dbmdz Turkish BERT model In this repository the MDZ Digital Library team (dbmdz) at the Bavarian State Library open sources a cased model for Turkish 🎉 🇹🇷 BERTurk BERTurk is a community driven cased BERT model for Turkish. Some datasets used for pretraining and evaluation are contributed from the awesome Turkish NLP community, as well as the decision for the model name: BERTurk. Stats The current version of 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. Thanks to Google's TensorFlow Research Cloud (TFRC) we could train a cased model on a TPU v3 8 for 2M steps. Model weights Currently only PyTorch Transformers compatible weights are available. If you need access to TensorFlow checkpoints, please raise an issue! Model Downloads dbmdz/bert base turkish cased config.json • pytorch model.bin • vocab.txt Usage With Transformers = 2.3 our BERTurk cased model can be loaded like: Results For results on PoS tagging or NER tasks, please refer to this repository. Huggingfac…
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