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  This is a NER model for Portuguese which uses the standard 'enamex' classes: LOC (geographical locations); PER (people); ORG (organizations); MISC (other entities).
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- The model is based on [BERTimbau Base](https://huggingface.co/neuralmind/bert-base-portuguese-cased), which has been fine-tuned using a combination of available corpus (see [1] for details).
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  There is an alternative model trained using [BERTimbau Large](https://huggingface.co/neuralmind/bert-large-portuguese-cased): [bert-large-pt-ner-enamex](https://huggingface.co/marcosgg/bert-large-pt-ner-enamex).
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  This is a NER model for Portuguese which uses the standard 'enamex' classes: LOC (geographical locations); PER (people); ORG (organizations); MISC (other entities).
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+ The model is based on [BERTimbau Base](https://huggingface.co/neuralmind/bert-base-portuguese-cased), which has been fine-tuned using a combination of available corpora (see [1] for details).
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  There is an alternative model trained using [BERTimbau Large](https://huggingface.co/neuralmind/bert-large-portuguese-cased): [bert-large-pt-ner-enamex](https://huggingface.co/marcosgg/bert-large-pt-ner-enamex).
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