Georgian Sentiment Analysis (XLM-RoBERTa-Base)
αα‘ αα αα‘ XLM-RoBERTa-Base αααααα, α ααααααͺ α‘αααͺαααα£α αα ααα’α ααααααα α₯αα αα£α ααααα α’αα₯α‘α’αα‘ α‘ααα’ααααα’αααα‘ αααααααα‘αααα‘ (Sentiment Analysis). αααααα‘ α¨αα£α«ααα α’αα₯α‘α’αα‘ αααα‘αα€ααααͺαα 3 ααα’αααα ααα: ααααα’αα£α α (0), αααα’α ααα£α α (1) αα ααααα’αα£α α (2).
ααααααα‘ αα¦α¬αα α
- ααααα‘α£α α αααααα: xlm-roberta-base
- ααααͺααα: Text Classification / Sentiment Analysis
- αααα‘αααα‘ α αααααααα: 3 (Negative, Neutral, Positive)
- ααα: α₯αα αα£αα (Georgian)
α αααα ααααααα§αααα (Usage)
ααααααα‘ ααααα§ααααα α«ααααα ααα α’αααα transformers ααααααααααα‘ pipeline- αα‘ ααα¨αααααα:
from transformers import pipeline
classifier = pipeline("sentiment-analysis", model="tsotne2010/georgian_sentiment_analysis")
result = classifier("αα‘ αα ααα₯α’α α«ααααα α‘αααα’αα αα‘α αα ααααα‘αααααα!")
print(result)
- Downloads last month
- 52
Model tree for tsotne2010/georgian_sentiment_analysis
Base model
FacebookAI/xlm-roberta-base