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import gradio as gr | |
title = "NLP Tasks - T0pp" | |
description = "This T0pp language model can perform natural language processing (NLP) tasks such as inference, paraphrasing, question-answering and summarization. You can specify the task and query in natural language in the Input Text box." | |
examples=[['A is the son of uncle B. What is the family relationship between A and B?'],["Question A: How is air traffic controlled? Question B: How do you become an air traffic controller? Pick one: these questions are duplicates or not duplicates."],["Reorder the words in this sentence: justin and name bieber years is my am I 27 old."]] | |
gr.Interface.load("huggingface/bigscience/T0pp", inputs=gr.inputs.Textbox(lines=5, label="Input Text"),title=title, description=description, examples=examples, enable_queue=True).launch() | |