readme: ---
  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
  
  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/)
    