chunked/nltk_chunking/model_doc_perceiver/chunk_27.txt

The
idea is actually relatively simple: one defines outputs of an arbitrary size, and then applies cross-attention with the
last hidden states of the latents, using the outputs as queries, and the latents as keys and values.