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Roberta Swahili News Classification
Model Overview
該模型基於RoBERTa架構，專門用於斯瓦希里語新聞文本的分類任務，是HuggingFace社區周項目的成果
Model Features
斯瓦希里語優化
專門針對斯瓦希里語新聞文本進行優化訓練
高性能分類
在新聞分類任務上達到91.5%的準確率
TPU訓練
使用Google Cloud TPUv3-8進行高效訓練
Model Capabilities
斯瓦希里語文本理解
新聞分類
文本特徵提取
Use Cases
新聞媒體
新聞自動分類
對斯瓦希里語新聞進行自動分類整理
準確率91.5%
內容管理
多語言內容分類
在斯瓦希里語為主的平臺上實現內容自動分類
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