There are two common types of question answering:

extractive: given a question and some context, the answer is a span of text from the context the model must extract
abstractive: given a question and some context, the answer is generated from the context; this approach is handled by the [Text2TextGenerationPipeline] instead of the [QuestionAnsweringPipeline] shown below

from transformers import pipeline
question_answerer = pipeline(task="question-answering")
preds = question_answerer(
     question="What is the name of the repository?