Xlm Roberta Base Language Detection ONNX
A multilingual detection model based on XLM-RoBERTa, capable of identifying the language category of text.
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Release Time : 12/24/2023
Model Overview
This model is based on the XLM-RoBERTa architecture, specifically designed for language detection tasks in multilingual text.
Model Features
Multilingual Support
Capable of detecting text in multiple languages.
Based on XLM-RoBERTa
Utilizes the powerful XLM-RoBERTa pre-trained model for fine-tuning, offering excellent language understanding capabilities.
Efficient Detection
Can quickly and accurately identify the language category of text.
Model Capabilities
Language Detection
Multilingual Text Processing
Use Cases
Text Processing
Multilingual Content Classification
Classify content by language on multilingual websites or applications.
Accurately identifies the language category of text for subsequent processing.
Language Filtering
Filter out text content that does not meet language requirements.
Improves the efficiency and quality of content management.
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