| import gradio as gr | |
| title = "T0pp-11B" | |
| description = "Gradio Demo for T0pp-11B, T0* is a series of encoder-decoder models trained on a large set of different tasks specified in natural language prompts. Can use the models to perform inference on tasks by specifying your query in natural language, and the models will generate a prediction. 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://huggingface.co/bigscience/T0pp_11B' target='_blank'>Hugging face model page</a></p>" | |
| examples = [ | |
| ['Is this review positive or negative? Review: this is the best cast iron skillet you will ever buy'], | |
| ] | |
| gr.Interface.load("huggingface/bigscience/T0pp_11B", inputs=gr.inputs.Textbox(lines=5, label="Input Text"),title=title,description=description,article=article, examples=examples,enable_queue=True).launch() |