Method 0: Trial and Error

Let’s start with the trial and error approach.

Question-answering seems very easy. Is that true? Let’s find out. We'll be using the QA_0.ipynb Jupyter notebook this lesson. We will run the notebook cell by cell.

We will first import Hugging Face’s pipeline, which contains many ready-to-use transformer resources. They provide high-level abstraction functions for the Hugging Face library resources to perform a wide range of tasks. We can access those NLP tasks through a simple API.

Importing Hugging Face

The pipeline is imported with one line of code:

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