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  <!-- Provide a quick summary of what the model is/does. -->
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- This is a masked‐language (fill‐mask) aims to perform Named Entity Recognition on German-Austrian historical documents.
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  <br>The model has been trained using the tagged entities 10319 samples provided by https://nerdpool-api.acdh-dev.oeaw.ac.at/.
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  <br>The model has been trained to identify entities from the Minutes of the Austian Council of Ministries.
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  - **Developed by:** Dimitra Grigoriou
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  - **Shared by**: Dimitra Grigoriou
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- - **Model type:** fill-mask
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  - **Language(s) (NLP):** German, Austrian German
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  - **License:** CC By-4.0
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  - **Finetuned from model :** google-bert-case
 
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  <!-- Provide a quick summary of what the model is/does. -->
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+ This is token-classification model aims to perform Named Entity Recognition on German-Austrian historical documents.
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  <br>The model has been trained using the tagged entities 10319 samples provided by https://nerdpool-api.acdh-dev.oeaw.ac.at/.
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  <br>The model has been trained to identify entities from the Minutes of the Austian Council of Ministries.
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  - **Developed by:** Dimitra Grigoriou
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  - **Shared by**: Dimitra Grigoriou
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+ - **Model type:** token classification
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  - **Language(s) (NLP):** German, Austrian German
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  - **License:** CC By-4.0
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  - **Finetuned from model :** google-bert-case