readme: ---
  language: de
  license: mit
  tags:
    - "historic german"
  ---
  
  # 🤗 + 📚 dbmdz DistilBERT model
  
  In this repository the MDZ Digital Library team (dbmdz) at the Bavarian State
  Library open sources a German Europeana DistilBERT model 🎉
  
  # German Europeana DistilBERT
  
  We use the open source [Europeana newspapers](http://www.europeana-newspapers.eu/)
  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](https://github.com/stefan-it/europeana-bert).
  
  ## Results
  
  For results on Historic NER, please refer to [this repository](https://github.com/stefan-it/europeana-bert).
  
  ## Usage
  
  With Transformers >= 4.3 our German Europeana DistilBERT model can be loaded like:
  
  ```python
  from transformers import AutoModel, AutoTokenizer
  
  model_name = "dbmdz/distilbert-base-german-europeana-cased"
  
  tokenizer = AutoTokenizer.from_pretrained(model_name)
  model = AutoModel.from_pretrained(model_name)
  ```
  
  # Huggingface model hub
  
  All other German Europeana models are available on the [Huggingface model hub](https://huggingface.co/dbmdz).
  
  # Contact (Bugs, Feedback, Contribution and more)
  
  For questions about our Europeana BERT, ELECTRA and ConvBERT models just open a new discussion
  [here](https://github.com/stefan-it/europeana-bert/discussions) 🤗
  
  # 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](https://huggingface.co/) team,
  it is possible to download both cased and uncased models from their S3 storage 🤗