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@ -28,7 +28,6 @@ Questions and comments about the model can be directed to Clemens Neudecker at c
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- [Model Card for sbb_ner](#model-card-for--model_id-)
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- [Table of Contents](#table-of-contents)
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- [Table of Contents](#table-of-contents-1)
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- [Model Details](#model-details)
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- [Model Description](#model-description)
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- [Uses](#uses)
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A BERT model trained on three German corpora containing contemporary and historical texts for named entity recognition tasks.
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It predicts the classes PER, LOC and ORG.
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- **Developed by:** [Kai Labusch](https://huggingface.co/labusch), [Clemens Neudecker](https://huggingface.co/cneud), David Zellhöfer
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- **Shared by [Optional]:** [Staatsbibliothek zu Berlin / Berlin State Library] (https://huggingface.co/SBB)
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- **Developed by:** [Kai Labusch](kai.labusch@sbb.spk-berlin.de), [Clemens Neudecker](clemens.neudecker@sbb.spk-berlin.de), David Zellhöfer
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- **Shared by [Optional]:** Staatsbibliothek zu Berlin / Berlin State Library
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- **Model type:** Language model
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- **Language(s) (NLP):** de
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- **License:** apache-2.0
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- **Parent Model:** The BERT base multilingual cased model as provided by [Google] (https://huggingface.co/bert-base-multilingual-cased)
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- **Parent Model:** The BERT base multilingual cased model as provided by [Google](https://huggingface.co/bert-base-multilingual-cased)
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- **Resources for more information:** More information needed
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- [GitHub Repo](https://github.com/qurator-spk/sbb_ner)
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- [Associated Paper](https://konvens.org/proceedings/2019/papers/KONVENS2019_paper_4.pdf)
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@ -258,8 +257,8 @@ More information needed
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<!-- This section provides another layer of transparency and accountability. Whose views is this model card representing? How many voices were included in its construction? Etc. -->
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Kai Labusch (kai.labusch@sbb.spk-berlin.de)
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[Jörg Lehmann](https://huggingface.co/Jrglmn)
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[Kai Labusch](kai.labusch@sbb.spk-berlin.de) and [Jörg Lehmann](joerg.lehmann@sbb.spk-berlin.de)
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# Model Card Contact
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@ -272,4 +271,4 @@ Use the code below to get started with the model.
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<details>
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How to get started with this model is explained in the ReadMe file of the GitHub repository [over here] (https://github.com/qurator-spk/sbb_ner).
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</details>
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</details>
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