alirezamsh commited on
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44632b6
1 Parent(s): 86a18ed

Update app.py

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  1. app.py +1 -1
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 a 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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  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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