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az-sentiment-bert
StartZer0/az-sentiment-bert
az-sentiment-bert is a machine learning model from StartZer0. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Fine-tuned aLLMA-BASE model for binary sentiment classification of Azerbaijani customer reviews.
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At a glance
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jan 30, 2026
- Updated
- Jan 30, 2026
- SHA
- fec89fb6
Base models
Model card
From the Hugging Face model README
AzSentiment - Azerbaijani Sentiment Analysis
Fine-tuned aLLMA-BASE model for binary sentiment classification of Azerbaijani customer reviews.
Model Performance
| Metric | Test Score |
|---|---|
| Accuracy | 93.3% |
| F1 Score | 96.2% |
Usage
from transformers import pipeline classifier = pipeline("text-classification", model="StartZer0/az-sentiment-bert") classifier("Bu mehsul cox yaxsidir!")
Citation
@inproceedings{isbarov-etal-2024-open, title = "Open foundation models for Azerbaijani language", author = "Isbarov, Jafar and Huseynova, Kavsar and Mammadov, Elvin and Hajili, Mammad and Ataman, Duygu", booktitle = "SIGTURK 2024", year = "2024", url = "https://aclanthology.org/2024.sigturk-1.2" }
- Type
- bert
- License
- mit
- Languages
- az
- Created
- Jan 30, 2026
- Updated
- Jan 30, 2026