🎯 FinBERT-Multi

Financial sentiment analysis model. Fine-tuned ProsusAI/finbert on 143K+ samples from 5 combined financial datasets.

The model outputs softmax outputs for three sentiment classes: Positive, Negative, Neutral.

πŸš€ Usage

from transformers import pipeline

classifier = pipeline("text-classification", model="ENTUM-AI/FinBERT-Multi")

classifier("Stock price soars on record-breaking earnings report")
# [{'label': 'Positive', 'score': 0.99}]

classifier("Company announces quarterly earnings results")
# [{'label': 'Neutral', 'score': 0.98}]

classifier("Revenue decline signals weakening market position")
# [{'label': 'Negative', 'score': 0.97}]

πŸ“Š Training Data

⚠️ Limitations

  • English only
Downloads last month
-
Safetensors
Model size
0.1B params
Tensor type
F32
Β·
Inference Providers NEW
This model isn't deployed by any Inference Provider. πŸ™‹ Ask for provider support

Datasets used to train ENTUM-AI/FinBERT-Multi