Lightweight Language Identification

Introducing our new 24.5M-parameter BERT-based language identification model! Trained on 121M sentences across 200 languages, this model is lightweight, CPU-friendly, and designed for real-time language identification tasks.

Key Features

• Compact Model: 24.5M parameters for efficient performance.
• Extensive Training: Trained on 121M sentences across 200 languages.
• Real-Time Ready: Optimized for real-time language identification tasks.
• Quantization Support: Reduces model size for deployment.
• ONNX Export: Seamless integration with ONNX for cross-platform compatibility.

Skills and Technologies

• Natural Language Processing (NLP): Advanced language identification capabilities.
• Data Classification: Accurate classification across 200 languages.
• Transformer Models: Built on a BERT-based architecture.
• Gradio: Easy-to-use interface for testing and deployment.

This lightweight model is perfect for developers and researchers looking for a CPU-friendly solution for language identification. With support for quantization and ONNX export, it’s ready for deployment in diverse environments.