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alirezamsh
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86a18ed
Update app.py
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app.py
CHANGED
@@ -15,7 +15,7 @@ lang_list = [lang.strip() for lang in langs.split(',')]
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model = M2M100ForConditionalGeneration.from_pretrained("alirezamsh/small100")
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tokenizer = SMALL100Tokenizer.from_pretrained("alirezamsh/small100")
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description = """This is
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In this paper, they propose a compact and shallow massively multilingual MT model, and achieve competitive results with M2M-100, while being super smaller and faster. More details are provided [here](https://huggingface.co/alirezamsh/small100). Currently running on 2 vCPU - 16GB RAM."""
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model = M2M100ForConditionalGeneration.from_pretrained("alirezamsh/small100")
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tokenizer = SMALL100Tokenizer.from_pretrained("alirezamsh/small100")
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description = """This is an official demo for the paper [*SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages*](https://arxiv.org/abs/2210.11621) by Alireza Mohammadshahi, Vassilina Nikoulina, Alexandre Berard, Caroline Brun, James Henderson, Laurent Besacier
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In this paper, they propose a compact and shallow massively multilingual MT model, and achieve competitive results with M2M-100, while being super smaller and faster. More details are provided [here](https://huggingface.co/alirezamsh/small100). Currently running on 2 vCPU - 16GB RAM."""
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