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---
language: pt
license: apache-2.0
widget:
- text: "O futuro de DI caiu 20 bps nesta manhã"
example_title: "Example 1"
- text: "O Nubank decidiu cortar a faixa de preço da oferta pública inicial (IPO) após revés no humor dos mercados internacionais com as fintechs."
example_title: "Example 2"
- text: "O Ibovespa acompanha correção do mercado e fecha com alta moderada"
example_title: "Example 3"
---
# FinBertPTBR : Financial Bert PT BR (Depreciated model)
> **Info**
> Newer version available on https://huggingface.co/lucas-leme/FinBERT-PT-BR
FinBertPTBR is a pre-trained NLP model to analyze sentiment of Brazilian Portuguese financial texts. It is built by further training the BERTimbau language model in the finance domain, using a large financial corpus and thereby fine-tuning it for financial sentiment classification.
## Usage
```python
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("turing-usp/FinBertPTBR")
model = AutoModel.from_pretrained("turing-usp/FinBertPTBR")
```
## Authors
- [Vinicius Carmo](https://www.linkedin.com/in/vinicius-cleves/)
- [Julia Pocciotti](https://www.linkedin.com/in/juliapocciotti/)
- [Luísa Heise](https://www.linkedin.com/in/lu%C3%ADsa-mendes-heise/)
- [Lucas Leme](https://www.linkedin.com/in/lucas-leme-santos/)
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