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base_model: google/mt5-small
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inference:
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parameters:
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max_new_tokens:
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A model for connverting vital records to Wikibase. Trained on a transcription dataset obrained with HTR (<a href="https://gitlab.com/scripta/escriptorium">eScriptorium</a>) from 150 pages of the Jewish registry book <a href="https://vademecum.nacr.cz/vademecum/permalink?xid=8c9e996c-e65c-41a0-8cbc-f8fc8dc32468">HBMa 2501</a> (<a href="https://www.wikidata.org/wiki/Q108724909">Wikidata</a>). The dataset contains 1071 vital records, which were uploaded to <a href="https://matrika.wikibase.cloud">Wikibase Cloud</a> after processing using this model.
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base_model: google/mt5-small
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inference:
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parameters:
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max_new_tokens: 200
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A model for connverting vital records to Wikibase. Trained on a transcription dataset obrained with HTR (<a href="https://gitlab.com/scripta/escriptorium">eScriptorium</a>) from 150 pages of the Jewish registry book <a href="https://vademecum.nacr.cz/vademecum/permalink?xid=8c9e996c-e65c-41a0-8cbc-f8fc8dc32468">HBMa 2501</a> (<a href="https://www.wikidata.org/wiki/Q108724909">Wikidata</a>). The dataset contains 1071 vital records, which were uploaded to <a href="https://matrika.wikibase.cloud">Wikibase Cloud</a> after processing using this model.
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