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@@ -23,7 +23,9 @@ should probably proofread and complete it, then remove this comment. -->
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  (Japanese caption : 日本語の固有表現抽出のモデル)
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- This model is a fine-tuned NER (named entity recognition) token classification model of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) (pre-trained cross-lingual ```RobertaModel```) on Wikipedia Japanese NER dataset by Stockmark Inc.<br>
 
 
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  See [here](https://github.com/stockmarkteam/ner-wikipedia-dataset) for the license of this dataset.
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  Each token is labeled by :
 
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  (Japanese caption : 日本語の固有表現抽出のモデル)
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+ This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) (pre-trained cross-lingual ```RobertaModel```) trained for named entity recognition (NER) token classification.
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+ The model is fine-tuned on NER dataset provided by Stockmark Inc, in which data is collected from Japanese Wikipedia articles.<br>
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  See [here](https://github.com/stockmarkteam/ner-wikipedia-dataset) for the license of this dataset.
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  Each token is labeled by :