| import gradio as gr | |
| from transformers import pipeline | |
| vision_classifier = pipeline(task="image-classification", | |
| model="microsoft/beit-base-patch16-224-pt22k-ft22k") | |
| iface = gr.Interface.from_pipeline(vision_classifier, | |
| title="2-line Object Recognition using HF Pipeline", | |
| description="Demonstrates how to use a pipeline and model hub.", | |
| examples=['data/wonder_cat.jpg', 'data/aki_dog.jpg',], | |
| article = "Author: <a href=\"https://huggingface.co/rowel\">Rowel Atienza</a>", | |
| ).launch() | |