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Nezha Base Wwm
NEZHA is a Chinese pre-trained language model based on the Transformer architecture, optimized for Chinese text understanding tasks using the whole word masking strategy
Downloads 66
Release Time : 6/19/2022
Model Overview
NEZHA is a pre-trained language model designed for Chinese text understanding, featuring an improved Transformer architecture and whole word masking strategy, delivering excellent performance in various Chinese NLP tasks
Model Features
Whole Word Masking Strategy
Utilizes Whole Word Masking technology to optimize Chinese word segmentation and enhance the model's understanding of Chinese language characteristics
Improved Transformer Architecture
Optimizes the standard Transformer architecture to enhance the model's ability to capture long-range dependencies
Chinese Optimization
Specifically designed and optimized for Chinese language characteristics, excelling in Chinese NLP tasks
Model Capabilities
Chinese text understanding
Text classification
Named entity recognition
Question answering systems
Text similarity calculation
Use Cases
Text Analysis
Sentiment Analysis
Analyzes the sentiment orientation of Chinese text
Achieves excellent performance in Chinese sentiment analysis tasks
News Classification
Automatically classifies Chinese news texts
Information Extraction
Named Entity Recognition
Identifies entities such as person names, locations, and organizations from Chinese text
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