README.md

# BERT pt-BR Persons

This model is fine-tuned to primarily identify Brazilian names, ignoring street and place names, even if they contain a person's name.

![test](./figures/test.png)

## Basic Usage

```python
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](https://huggingface.co/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}
}
```