xlm - roberta - base - language - detection_ONNX Open Source Model - Free Detection of Text Language Categories

Xlm Roberta Base Language Detection ONNX

Developed by Oblix

A multilingual detection model based on XLM-RoBERTa, capable of identifying the language category of text.

Downloads 16

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.

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.

Language Detection

Multilingual Text Processing

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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