| --- |
| 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/) |
| |
