🤗 + 📚 dbmdz German BERT models In this repository the MDZ Digital Library team (dbmdz) at the Bavarian State Library open sources another German BERT models 🎉 German BERT Stats In addition to the recently released German BERT model by deepset we provide another German language model. The source data for the model consists of a recent Wikipedia dump, EU Bookshop corpus, Open Subtitles, CommonCrawl, ParaCrawl and News Crawl. This results in a dataset with a size of 16GB and 2,350,234,427 tokens. For sentence splitting, we use spacy. Our preprocessing steps (sentence piece model for vocab generation) follow those used for training SciBERT. The model is trained with an initial sequence length of 512 subwords and was performed for 1.5M steps. This release includes both cased and uncased models. Model weights Currently only PyTorch Transformers compatible weights are available. If you need access to TensorFlow checkpoints, please raise an issue! Model Downloads bert base german dbmdz cased config.json • pytorch model.bin • vocab.txt bert base german dbmdz uncased config.json • pytorch model.bin • vocab.txt Usage With Transformers = 2.3 our German BERT models can be loaded like: Result…
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