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  Model was trained by [SberIDP](https://github.com)
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  * Task: `NER`
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- * Training Data: 5 datasets:
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- - CoNLL-2003,
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- - WNUT17
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- - JNLPBA
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- - CoNLL-2012 (OntoNotes)
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- - BTC
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  The model is described [in this article](https://habr.com/ru/company/sberbank/blog/).
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- It is pretrained for NER task using Reptile(https://openai.com/blog/reptile/) and can be finetuned for new entities with only a small amount of samples.
 
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  Model was trained by [SberIDP](https://github.com)
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  * Task: `NER`
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+ * Training Data is 5 datasets: CoNLL-2003, WNUT17, JNLPBA, CoNLL-2012 (OntoNotes), BTC
 
 
 
 
 
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  The model is described [in this article](https://habr.com/ru/company/sberbank/blog/).
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+ It is pretrained for NER task using [Reptile](https://openai.com/blog/reptile/) and can be finetuned for new entities with only a small amount of samples.
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