Zenz V1
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Zenz V1
Developed by Miwa-Keita
Japanese Kana-Kanji conversion model optimized based on GPT-2 architecture, specifically designed for Zenzai input method
Downloads 37
Release Time : 5/12/2024
Model Overview
Language model optimized for Kana-Kanji conversion tasks, primarily used in neural network Kana-Kanji conversion system 'Zenzai', employing character-level + byte-level BPE tokenizer
Model Features
Character-level Processing
Uses character-level + byte-level BPE tokenizer, suitable for Japanese Kana-Kanji conversion tasks
Efficient Conversion
Excellent performance with greedy algorithm in Kana-Kanji conversion tasks
Lightweight
90 million parameter scale, maintaining performance while controlling model size
Model Capabilities
Japanese Kana to Kanji Conversion
Japanese Text Conversion
Input Method Support
Use Cases
Input Method
Zenzai Input Method
Serves as the core engine for neural network Kana-Kanji conversion system
Provides efficient Japanese input experience
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