Which of the following statements accurately describes the Seq2Seq model in the context of natural language processing?
The Seq2Seq model is an encoder-decoder architecture where the input is a sequence of words, and the output is a single word
The Seq2Seq model is an encoder-decoder architecture where both the input and output are single words
The Seq2Seq model is an encoder-decoder architecture where the input and output are both sequences of word
The Seq2Seq model is an architecture used for image classification tasks rather than natural language processing