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Distilbert Base Turkish Cased Allnli Tr

Developed by emrecan
A Turkish zero-shot classification model fine-tuned based on dbmdz/distilbert-base-turkish-cased
Downloads 15
Release Time : 3/2/2022

Model Overview

This is a zero-shot classification model for Turkish text, based on the DistilBERT architecture, suitable for natural language inference tasks.

Model Features

Turkish language optimization
Pre-trained model specifically optimized for Turkish text
Zero-shot classification
Classify new categories without domain-specific training
Lightweight architecture
Lightweight model based on DistilBERT, reducing computational resource requirements while maintaining performance

Model Capabilities

Text classification
Natural language inference
Zero-shot learning

Use Cases

Text analysis
News classification
Automatically classify Turkish news into categories such as economy, politics, sports, etc.
Accuracy 73.81%
Sentiment analysis
Analyze sentiment tendencies (positive/negative) in Turkish text
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