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Migrate model card from transformers-repo

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Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755
Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/dbmdz/bert-base-german-europeana-cased/README.md

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+ ---
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+ language: de
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+ license: mit
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+ tags:
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+ - "historic german"
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+ ---
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+
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+ # πŸ€— + πŸ“š dbmdz BERT models
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+
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+ In this repository the MDZ Digital Library team (dbmdz) at the Bavarian State
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+ Library open sources German Europeana BERT models πŸŽ‰
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+
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+ # German Europeana BERT
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+
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+ We use the open source [Europeana newspapers](http://www.europeana-newspapers.eu/)
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+ that were provided by *The European Library*. The final
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+ training corpus has a size of 51GB and consists of 8,035,986,369 tokens.
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+
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+ Detailed information about the data and pretraining steps can be found in
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+ [this repository](https://github.com/stefan-it/europeana-bert).
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+
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+ ## Model weights
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+
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+ Currently only PyTorch-[Transformers](https://github.com/huggingface/transformers)
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+ compatible weights are available. If you need access to TensorFlow checkpoints,
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+ please raise an issue!
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+
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+ | Model | Downloads
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+ | ------------------------------------------ | ---------------------------------------------------------------------------------------------------------------
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+ | `dbmdz/bert-base-german-europeana-cased` | [`config.json`](https://cdn.huggingface.co/dbmdz/bert-base-german-europeana-cased/config.json) β€’ [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/bert-base-german-europeana-cased/pytorch_model.bin) β€’ [`vocab.txt`](https://cdn.huggingface.co/dbmdz/bert-base-german-europeana-cased/vocab.txt)
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+
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+ ## Results
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+
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+ For results on Historic NER, please refer to [this repository](https://github.com/stefan-it/europeana-bert).
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+
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+ ## Usage
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+
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+ With Transformers >= 2.3 our German Europeana BERT models can be loaded like:
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+
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+ ```python
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+ from transformers import AutoModel, AutoTokenizer
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+
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+ tokenizer = AutoTokenizer.from_pretrained("dbmdz/bert-base-german-europeana-cased")
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+ model = AutoModel.from_pretrained("dbmdz/bert-base-german-europeana-cased")
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+ ```
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+
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+ # Huggingface model hub
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+
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+ All models are available on the [Huggingface model hub](https://huggingface.co/dbmdz).
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+
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+ # Contact (Bugs, Feedback, Contribution and more)
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+
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+ For questions about our BERT models just open an issue
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+ [here](https://github.com/dbmdz/berts/issues/new) πŸ€—
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+
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+ # Acknowledgments
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+
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+ Research supported with Cloud TPUs from Google's TensorFlow Research Cloud (TFRC).
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+ Thanks for providing access to the TFRC ❀️
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+
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+ Thanks to the generous support from the [Hugging Face](https://huggingface.co/) team,
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+ it is possible to download both cased and uncased models from their S3 storage πŸ€—