from transformers import pipeline, BertForTokenClassification, BertTokenizerFast

model_name = "rafola/BERT-base-pt-BR-person"
model = BertForTokenClassification.from_pretrained(model_name)
tokenizer = BertTokenizerFast.from_pretrained(model_name,use_fast=True)

nlp = pipeline("ner", model=model, tokenizer=tokenizer)

result=nlp("Como já dizia seu Zé Ricardo, A Luiza sempre vai atrás de uma encrenca, mesmo com todo o cuidado de tia Eliana com ela.")

print(result)

Citations

If you use our work, please cite:

@misc{rafola2025BERTptBRpersons,
  author = {Rafael Vitor Krueger},
  title = {BERT pt-BR Persons: Fine-tuned model to identify brazilian person names},
  year = {2025},
  url = {https://huggingface.co/rafola/BERT-base-pt-BR-person},
}

This model has been treined using as base: neuralmind/bert-base-portuguese-cased

@inproceedings{souza2020bertimbau,
  author    = {F{\'a}bio Souza and
               Rodrigo Nogueira and
               Roberto Lotufo},
  title     = {{BERT}imbau: pretrained {BERT} models for {B}razilian {P}ortuguese},
  booktitle = {9th Brazilian Conference on Intelligent Systems, {BRACIS}, Rio Grande do Sul, Brazil, October 20-23 (to appear)},
  year      = {2020}
}