dbmdz / convbert-base-german-europeana-cased

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Introduction of convbert-base-german-europeana-cased

Model Details of convbert-base-german-europeana-cased

🤗 + 📚 dbmdz ConvBERT model

In this repository the MDZ Digital Library team (dbmdz) at the Bavarian State Library open sources a German Europeana ConvBERT model 🎉

German Europeana ConvBERT

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 .

Results

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

Usage

With Transformers >= 4.3 our German Europeana ConvBERT model can be loaded like:

from transformers import AutoModel, AutoTokenizer

model_name = "dbmdz/convbert-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 .

Contact (Bugs, Feedback, Contribution and more)

For questions about our Europeana BERT, ELECTRA and ConvBERT models just open a new discussion 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 🤗

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