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Multi2convai Quality En Mbert
This is an MBert model fine-tuned for the quality domain, specifically designed for English text classification tasks.
Downloads 16
Release Time : 3/2/2022
Model Overview
This model was developed by the Multi2ConvAI project, focusing on English text classification applications in the quality domain. Fine-tuned based on the MBert architecture, it is suitable for domain-specific text classification needs.
Model Features
Domain Specialization
Specially fine-tuned for the quality domain, delivering superior performance in this field
Multilingual Foundation
Based on the MBert architecture, it has the potential to handle multilingual tasks
Lightweight Deployment
A lightweight model suitable for deployment in production environments
Model Capabilities
English Text Classification
Quality-related Text Analysis
Use Cases
Quality Analysis
Quality Feedback Classification
Classify user feedback related to quality
Automatically identify quality-related feedback
Quality Report Analysis
Analyze key information in quality reports
Extract important metrics from quality reports
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