| 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? |