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3 changes: 0 additions & 3 deletions docs/source/en/tasks/document_question_answering.mdx
Original file line number Diff line number Diff line change
Expand Up @@ -40,9 +40,6 @@ LayoutLMv2 solves the document question-answering task by adding a question-answ
states of the tokens, to predict the positions of the start and end tokens of the
answer. In other words, the problem is treated as extractive question answering: given the context, extract which piece
of information answers the question. The context comes from the output of an OCR engine, here it is Google's Tesseract.
states of the tokens, in order to predict which token is at the start of the answer and which token is at the end of the
answer. In other words, the problem is treated as extractive question answering: given the context, extract which piece
of information answers the question. The context comes from the output of an OCR engine, here it is Google's Tesseract.

Before you begin, make sure you have all the necessary libraries installed. LayoutLMv2 depends on detectron2, torchvision and tesseract.

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