NLLB-200模型相比之前的最先进系统,在翻译质量上取得了显著提升。平均而言,NLLB-200模型的翻译质量提升了44%。这一提升在多个语言方向上均有体现,尤其是低资源语言 使用NLLB-200翻译的文章具有最低的删除率(0.13%)和最高的修改保留率(10%以下) 模型架构 NLLB模型采用了稀疏门控专家混合(Sparsely Gated Mixture ...
transformers language-model flask-api language-translator nllb200 Updated Oct 30, 2024 Python Atul-AI08 / Lingo-Blend Star 0 Code Issues Pull requests This repository contains Python implementations for processing multilingual text data, focusing on language classification and translation tasks. The...
Welcome to the NextNLLB200 Language Translator. This application allows you to translate text between over 50 languages using the powerful NLLB-200 model by Meta. Built with modern technologies such as Next.js, Tailwind CSS, ShadcnUI, and FastAPI, this web app provides a seamless and efficient...
与其他大多数公开推广的人工智能项目一样,Meta公司决定将NLLB-200开源,同时向非营利组织提供20万美元的资助,以开发该技术的现实世界应用。
nllb-200 distilled 350M for English to Korean translation lightweighttranslationtransformerspytorchdistillationnllb200 UpdatedApr 27, 2024 Jupyter Notebook Crash course on LangChain for LLM Application Developement by DeepLearningAI lambdagoogleopenaillamasparrowpalmbarddeeplearning-aigpt-3gpt-4large-language...