readme: ---
  language: fr
  license: mit
  tags:
    - "historic french"
  ---
  # 🤗 + 📚 dbmdz BERT model
  
  In this repository the MDZ Digital Library team (dbmdz) at the Bavarian State
  Library open sources French Europeana BERT models 🎉
  
  # French Europeana BERT
  
  We extracted all French texts using the `language` metadata attribute from the Europeana corpus.
  
  The resulting corpus has a size of 63GB and consists of 11,052,528,456 tokens.
  
  Based on the metadata information, texts from the 18th - 20th century are mainly included in the
  training corpus.
  
  Detailed information about the data and pretraining steps can be found in
  [this repository](https://github.com/stefan-it/europeana-bert).
  
  ## Model weights
  
  BERT model weights for PyTorch and TensorFlow are available.
  
  * French Europeana BERT: `dbmdz/bert-base-french-europeana-cased` - [model hub page](https://huggingface.co/dbmdz/bert-base-french-europeana-cased/tree/main)
  
  ## Results
  
  For results on Historic NER, please refer to [this repository](https://github.com/stefan-it/europeana-bert).
  
  ## Usage
  
  With Transformers >= 2.3 our French Europeana BERT model can be loaded like:
  
  ```python
  from transformers import AutoModel, AutoTokenizer
  tokenizer = AutoTokenizer.from_pretrained("dbmdz/bert-base-french-europeana-cased")
  model = AutoModel.from_pretrained("dbmdz/bert-base-french-europeana-cased")
  ```
  
  # Huggingface model hub
  
  All models are available on the [Huggingface model hub](https://huggingface.co/dbmdz).
  
  # Contact (Bugs, Feedback, Contribution and more)
  
  For questions about our BERT model just open an issue
  [here](https://github.com/dbmdz/berts/issues/new) 🤗
  
  # 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 our model from their S3 storage 🤗
  