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Openlid

Developed by laurievb
OpenLID is a high-coverage, high-performance language identification model supporting 201 languages.
Downloads 1,854
Release Time : 10/24/2023

Model Overview

A text classification model based on the fastText framework, specifically designed for language identification tasks.

Model Features

High coverage
Supports 201 languages with extensive coverage.
High performance
Excellent performance on the FLORES-200 benchmark.
Open dataset
Training data and performance metrics are publicly available to facilitate further research.

Model Capabilities

Text classification
Language identification

Use Cases

Multilingual processing
Language detection
Identify the language category of a text.
Excellent performance on the FLORES-200 benchmark.
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