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Klue Roberta Base Sae
RoBERTa model trained on Korean dataset for sentence intent understanding tasks
Downloads 26
Release Time : 3/2/2022
Model Overview
This model is based on the klue/roberta-base architecture, trained with the Korean dataset kor_sae as a language model primarily used for understanding the intent of input sentences. While it supports English input, it is mainly optimized for Korean.
Model Features
Korean optimization
Specifically trained and optimized for Korean text
Intent understanding
Capable of analyzing the intent and semantics of input sentences
Based on RoBERTa architecture
Utilizes the powerful RoBERTa-base pre-trained model architecture
Model Capabilities
Korean sentence intent understanding
Text classification
Semantic analysis
Use Cases
Natural Language Processing
Korean chatbot
Used to understand the intent of Korean user inputs
Improves the chatbot's accuracy in understanding Korean
Customer service system
Automatically classifies the intent of Korean customer inquiries
Improves customer service efficiency by automatically routing customer requests
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