# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("turing-usp/FinBertPTBR")
model = AutoModelForSequenceClassification.from_pretrained("turing-usp/FinBertPTBR")Quick Links
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
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("turing-usp/FinBertPTBR")
model = AutoModel.from_pretrained("turing-usp/FinBertPTBR")
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="turing-usp/FinBertPTBR")