A retail company’s data team wants to use Google’s pretrained language model in BigQuery to analyze customer questions and automatically tag them with relevant product categories. They need the predictions to be highly accurate for text categorization without spending time on model training. Which method best accomplishes this task in BigQuery while meeting these accuracy requirements?