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| title: MBartTranslator | |
| emoji: ⚡ | |
| colorFrom: pink | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 3.15.0 | |
| app_file: app.py | |
| pinned: false | |
| # mBART-50 | |
| mBART-50 is a multilingual Sequence-to-Sequence model pre-trained using the "Multilingual Denoising Pretraining" objective. It was introduced in [Multilingual Translation with Extensible Multilingual Pretraining and Finetuning](https://arxiv.org/abs/2008.00401) paper. | |
| ## Model description | |
| mBART-50 is a multilingual Sequence-to-Sequence model. It was introduced to show that multilingual translation models can be created through multilingual fine-tuning. | |
| Instead of fine-tuning on one direction, a pre-trained model is fine-tuned on many directions simultaneously. mBART-50 is created using the original mBART model and extended to add extra 25 languages to support multilingual machine translation models of 50 languages. The pre-training objective is explained below. | |
| ## Docker with GPU | |
| ``` | |
| docker run -it --gpus all -p 7860:7860 --platform=linux/amd64 \ | |
| registry.hf.space/wall-e-zz-mbarttranslator:latest python app.py | |
| ``` | |
| ## Docker with CPU | |
| ``` | |
| docker run -it -p 7860:7860 --platform=linux/amd64 \ | |
| registry.hf.space/wall-e-zz-mbarttranslator:latest python app.py | |
| ``` |