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README.md
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# multilingual-xlm-roberta-for-ner
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## Model description
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**xlm-roberta-base-multilingual-cased-ner
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It has been trained to recognize three types of entities: location (LOC), organizations (ORG), and person (PER).
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Specifically, this model is a *XLMRoreberta-base-multilingual-cased* model that was fine-tuned on an aggregation of 10 high-resourced languages.
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# multilingual-xlm-roberta-for-ner
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## Model description
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**xlm-roberta-base-multilingual-cased-ner** is a **Named Entity Recognition** model based on a fine-tuned XLM-RoBERTa base model.
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It has been trained to recognize three types of entities: location (LOC), organizations (ORG), and person (PER).
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Specifically, this model is a *XLMRoreberta-base-multilingual-cased* model that was fine-tuned on an aggregation of 10 high-resourced languages.
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