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Roberta Swahili News Classification
A RoBERTa model for classifying Swahili news texts, trained on Google Cloud TPUv3-8
Downloads 135
Release Time : 3/2/2022
Model Overview
This model is based on the RoBERTa architecture, specifically designed for Swahili news text classification tasks, and is a result of the HuggingFace Community Week project
Model Features
Swahili Optimization
Specially optimized and trained for Swahili news texts
High-performance Classification
Achieves 91.5% accuracy in news classification tasks
TPU Training
Efficient training using Google Cloud TPUv3-8
Model Capabilities
Swahili text understanding
News classification
Text feature extraction
Use Cases
News Media
Automatic News Classification
Automatic classification and organization of Swahili news
91.5% accuracy
Content Management
Multilingual Content Classification
Automatic content classification on Swahili-dominant platforms
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