src/news_scraper/nlp_models/sigma.py

# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification



from transformers import AutoTokenizer, AutoModelForSequenceClassification
from news_scraper.nlp_models.basemodel import BaseModel


class Sigma(BaseModel):
    """
    A class for performing sentiment analysis using the FinBERT model.
    
    https://huggingface.co/Sigma/financial-sentiment-analysis
    """
    
    def __init__(self):
        super().__init__("sigma")
        self.tokenizer = AutoTokenizer.from_pretrained("Sigma/financial-sentiment-analysis")
        self.model = AutoModelForSequenceClassification.from_pretrained("Sigma/financial-sentiment-analysis")
        self.model.to(self.device)
        self.model.eval()