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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? |