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import gradio as gr | |
title = "XLM-ProphetNet" | |
description = "Gradio Demo for XLM-ProphetNet. To use it, simply add your text, or click one of the examples to load them. Read more at the links below." | |
article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2001.04063' target='_blank'>ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training</a></p>" | |
examples = [ | |
["Paris is the capital of France"] | |
] | |
gr.Interface.load("huggingface/microsoft/xprophetnet-large-wiki100-cased-xglue-ntg",title=title,description=description,article=article, examples=examples).launch(enable_queue=True) |