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Xlm Roberta Base Language Detection Tfjs

Developed by dnouv
This is a multilingual detection model based on XLM-RoBERTa, supporting recognition of 20 languages.
Downloads 14
Release Time : 4/7/2025

Model Overview

This model is a fine-tuned version of xlm-roberta-base on a language identification dataset for text classification tasks, capable of recognizing 20 different languages.

Model Features

Multilingual Support
Supports detection of 20 different languages
ONNX Format
Converted to ONNX format for optimized inference performance
High Accuracy
Leverages XLM-RoBERTa's powerful language understanding capabilities

Model Capabilities

Language Detection
Text Classification

Use Cases

Content Moderation
Multilingual Content Classification
Automatically identifies the language of user-generated content
Improves content classification efficiency
Localization Services
Language Identification
Identifies the language of user input to provide appropriate services
Enhances user experience
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