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Ct2fast Opus Mt De En

Developed by michaelfeil
This is a quantized version of the Helsinki-NLP/opus-mt-de-en model, enabling fast inference through CTranslate2, supporting German to English machine translation.
Downloads 72
Release Time : 5/19/2023

Model Overview

This model is a machine translation model based on the transformer-align architecture, specifically designed for German to English translation tasks. Through CTranslate2's quantization technology, it achieves 2x to 8x inference speed improvements.

Model Features

Fast inference
Achieves 2x to 8x inference speed improvements through CTranslate2's int8 quantization technology.
Multi-platform support
Compatible with CUDA and CPU devices, supporting int8_float16 (CUDA) and int8 (CPU) computation types.
Easy integration
Compatible with the hf-hub-ctranslate2 library, allowing seamless integration into existing projects.

Model Capabilities

German to English text translation
Supports batch text processing

Use Cases

Content translation
News translation
Quickly translate German news content into English
Achieved a BLEU score of 43.7 on the newstest2018-ende test set
User interaction translation
Real-time translation of user-input German content into English
Education
Learning aid
Assist language learners in understanding German content
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