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@ -28,7 +28,6 @@ Questions and comments about the model can be directed to Clemens Neudecker at c
- [Model Card for sbb_ner](#model-card-for--model_id-) - [Model Card for sbb_ner](#model-card-for--model_id-)
- [Table of Contents](#table-of-contents) - [Table of Contents](#table-of-contents)
- [Table of Contents](#table-of-contents-1)
- [Model Details](#model-details) - [Model Details](#model-details)
- [Model Description](#model-description) - [Model Description](#model-description)
- [Uses](#uses) - [Uses](#uses)
@ -71,12 +70,12 @@ Questions and comments about the model can be directed to Clemens Neudecker at c
A BERT model trained on three German corpora containing contemporary and historical texts for named entity recognition tasks. A BERT model trained on three German corpora containing contemporary and historical texts for named entity recognition tasks.
It predicts the classes PER, LOC and ORG. It predicts the classes PER, LOC and ORG.
- **Developed by:** [Kai Labusch](https://huggingface.co/labusch), [Clemens Neudecker](https://huggingface.co/cneud), David Zellhöfer - **Developed by:** [Kai Labusch](kai.labusch@sbb.spk-berlin.de), [Clemens Neudecker](clemens.neudecker@sbb.spk-berlin.de), David Zellhöfer
- **Shared by [Optional]:** [Staatsbibliothek zu Berlin / Berlin State Library] (https://huggingface.co/SBB) - **Shared by [Optional]:** Staatsbibliothek zu Berlin / Berlin State Library
- **Model type:** Language model - **Model type:** Language model
- **Language(s) (NLP):** de - **Language(s) (NLP):** de
- **License:** apache-2.0 - **License:** apache-2.0
- **Parent Model:** The BERT base multilingual cased model as provided by [Google] (https://huggingface.co/bert-base-multilingual-cased) - **Parent Model:** The BERT base multilingual cased model as provided by [Google](https://huggingface.co/bert-base-multilingual-cased)
- **Resources for more information:** More information needed - **Resources for more information:** More information needed
- [GitHub Repo](https://github.com/qurator-spk/sbb_ner) - [GitHub Repo](https://github.com/qurator-spk/sbb_ner)
- [Associated Paper](https://konvens.org/proceedings/2019/papers/KONVENS2019_paper_4.pdf) - [Associated Paper](https://konvens.org/proceedings/2019/papers/KONVENS2019_paper_4.pdf)
@ -258,8 +257,8 @@ More information needed
<!-- 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. --> <!-- 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. -->
Kai Labusch (kai.labusch@sbb.spk-berlin.de) [Kai Labusch](kai.labusch@sbb.spk-berlin.de) and [Jörg Lehmann](joerg.lehmann@sbb.spk-berlin.de)
[Jörg Lehmann](https://huggingface.co/Jrglmn)
# Model Card Contact # Model Card Contact
@ -272,4 +271,4 @@ Use the code below to get started with the model.
<details> <details>
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). 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).
</details> </details>

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