A developer is building a model to determine if two sentences are paraphrases of each other. The model takes the two sentences as a single input, formatted with special tokens: [CLS] Sentence A [SEP] Sentence B [SEP]. After processing, the model produces a final hidden-state vector for every token in this input sequence. To make the final classification decision (i.e., 'paraphrase' or 'not a paraphrase'), which vector should be passed to the final prediction network to best represent the relationship between the two sentences?

Debugging a Text-Pair Similarity Model

You are using a large, pre-trained transformer model to perform a text-pair classification task, such as determining if a given sentence is a valid answer to a question. Arrange the following steps in the correct chronological order to describe the model's process from receiving the two text inputs to producing a final classification label.