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import gradio as gr | |
title = "XLM-RoBERTa" | |
description = "Gradio Demo for XLM-RoBERTa. 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/1911.02116' target='_blank'>Unsupervised Cross-lingual Representation Learning at Scale</a></p>" | |
examples = [ | |
["Hello I'm a <mask> model."] | |
] | |
gr.Interface.load("huggingface/xlm-roberta-base", inputs=gr.inputs.Textbox(lines=5, label="Input Text"),title=title,description=description,article=article, examples=examples).launch(enable_queue=True) |