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Deberta Base Japanese Wikipedia
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Deberta Base Japanese Wikipedia
Developed by KoichiYasuoka
DeBERTa(V2) model pretrained on Japanese Wikipedia and Aozora Bunko texts, suitable for Japanese text processing tasks
Downloads 32
Release Time : 6/25/2022
Model Overview
This is a DeBERTa(V2) model pretrained on Japanese Wikipedia and Aozora Bunko texts, which can be fine-tuned for downstream tasks such as part-of-speech tagging, dependency parsing, and other Japanese natural language processing tasks.
Model Features
Japanese-Specific Pretraining
Specifically pretrained for Japanese text, optimized for handling Japanese language characteristics
Based on DeBERTa Architecture
Utilizes the advanced DeBERTa(V2) architecture with powerful language understanding capabilities
Multi-Task Applicability
Can be fine-tuned as a base model for various Japanese NLP tasks
Model Capabilities
Japanese Text Understanding
Masked Language Prediction
Part-of-Speech Tagging
Dependency Parsing
Use Cases
Natural Language Processing
Japanese Part-of-Speech Tagging
Can be used for part-of-speech tagging tasks in Japanese text
Fine-tuned models are already available for this task
Japanese Dependency Parsing
Can be used to analyze the grammatical structure of Japanese text
Fine-tuned models are already available for this task
Japanese Text Understanding
Can be used to build Japanese question-answering systems or chatbots
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