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Xlm Roberta Base Language Detection Onnx

Developed by protectai
This is the ONNX format conversion of the papluca/xlm-roberta-base-language-detection model, designed for multilingual text classification tasks, supporting detection in 20 languages.
Downloads 6,535
Release Time : 11/14/2023

Model Overview

A language detection model fine-tuned on xlm-roberta-base, capable of identifying text content in 20 different languages.

Model Features

Multilingual Support
Supports detection in 20 different languages, covering major global languages.
ONNX Format
Converted to ONNX format for optimized inference performance and easier deployment.
High Accuracy
Fine-tuned on XLM-RoBERTa-base, delivering excellent performance in language identification tasks.

Model Capabilities

Language Detection
Text Classification

Use Cases

Content Moderation
Multilingual Content Classification
Automatically identifies the language of user-submitted content for subsequent processing.
Accurately identifies text content in 20 languages.
International Applications
Language Routing
Automatically switches to the corresponding language interface or service based on user input.
Enhances multilingual user experience.
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