Exercise

Building a search completion system

Search completion, or auto-complete, is a common NLP application used in search engines and messaging apps. The goal is to suggest possible completions based on a user's partial input. Your task is to use Hugging Face's "text-generation" pipeline to implement a basic auto-complete system that generates relevant completions from the user's query.

Instructions

100 XP

Create an autocomplete pipeline with the "distilgpt2" model.
Generate five search query suggestions for the given prompt, limiting each to a maximum of eight tokens.

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Instructions

Exercise