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Funnel Kor Base
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Funnel Kor Base
Developed by kykim
Funnel-transformer base model trained on 70GB Korean text dataset, using 42,000 lowercase subword units
Downloads 475
Release Time : 3/2/2022
Model Overview
This is a Korean-optimized Funnel-transformer base model suitable for various Korean natural language processing tasks
Model Features
Large-scale Korean training data
Trained using 70GB Korean text dataset
Optimized subword units
Utilizes 42,000 lowercase subword units to improve Korean processing efficiency
Funnel-transformer architecture
Uses Funnel-transformer architecture, potentially enabling efficient long sequence processing
Model Capabilities
Korean text understanding
Korean text representation learning
Transfer learning for downstream NLP tasks
Use Cases
Natural Language Processing
Korean text classification
Can be used for tasks like sentiment analysis and topic classification in Korean
Korean question answering system
Serves as base model for building Korean QA systems
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