? + ? dbmdz BERT models

In this repository the MDZ Digital Library team (dbmdz) at the Bavarian State Library open sources German Europeana BERT models ?

German Europeana BERT

We use the open source Europeana newspapers that were provided by The European Library . The final training corpus has a size of 51GB and consists of 8,035,986,369 tokens.

Detailed information about the data and pretraining steps can be found in this repository .

Model weights

Currently only PyTorch- Transformers compatible weights are available. If you need access to TensorFlow checkpoints, please raise an issue!

Results

For results on Historic NER, please refer to this repository .

Usage

With Transformers >= 2.3 our German Europeana BERT models can be loaded like:

from transformers import AutoModel, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("dbmdz/bert-base-german-europeana-cased")
model = AutoModel.from_pretrained("dbmdz/bert-base-german-europeana-cased")

Huggingface model hub

All models are available on the Huggingface model hub .

Contact (Bugs, Feedback, Contribution and more)

For questions about our BERT models just open an issue here ?

Acknowledgments

Research supported with Cloud TPUs from Google's TensorFlow Research Cloud (TFRC). Thanks for providing access to the TFRC ❤️

Thanks to the generous support from the Hugging Face team, it is possible to download both cased and uncased models from their S3 storage ?