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fin-impact-xlmr – AI Model by stocky-ai | AlphaNeural AI

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stocky-ai/
fin-impact-xlmr

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fin-impact-xlmr

fin-impact-xlmr is a multilingual regression model that estimates the financial relevance / impact of news headlines.

The model outputs a continuous score between 0 and 10, where higher values indicate stronger financial relevance.

What does this model do?

Given a short text (typically a news headline), the model predicts how strongly the content is related to:

financial markets
macroeconomics
corporate finance

This is not a sentiment model.

Supported Languages

Turkish
English
French
German
Spanish
Italian
Arabic
Japanese
Russian
Chinese

Language tags are not required in the input.

Evaluation (approx.)

R2: ~0.62
MAE: ~1.0 (on 0–10 scale)

Example

python

from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch

tokenizer = AutoTokenizer.from_pretrained("stocky-ai/fin-impact-xlmr")
model = AutoModelForSequenceClassification.from_pretrained("stocky-ai/fin-impact-xlmr")

def predict(text):
    inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True)
    with torch.no_grad():
        return model(**inputs).logits.item() * 10

print(predict("Central bank raised interest rates amid inflation concerns"))