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Ernie Gram Zh

Developed by nghuyong
ERNIE-Gram is a pre-trained natural language understanding model using explicit N-Gram masked language modeling
Large Language Model
Transformers
 Chinese#Explicit N-Gram Modeling#Chinese Natural Language Understanding#768-dimensional Hidden Layer
Downloads 225
Release Time : 4/3/2022

Model Overview

ERNIE-Gram is a pre-trained model focused on Chinese natural language understanding, enhancing model performance through explicit N-Gram masked language modeling

Model Features

Explicit N-Gram Masked Language Modeling
Uses explicit N-Gram masking strategy for pre-training to enhance the model's understanding of language structures
Chinese Optimization
Specifically optimized and trained for Chinese language characteristics
Transformer-based Architecture
Adopts standard Transformer architecture with 12 layers, 768 hidden layer dimensions, and 12 attention heads

Model Capabilities

Chinese Text Understanding
Natural Language Processing
Semantic Analysis

Use Cases

Text Analysis
Sentiment Analysis
Analyze the sentiment tendency of Chinese text
Text Classification
Classify Chinese text
Question Answering Systems
Chinese Q&A
Build Chinese question answering systems
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