
Dimensionality of the text embeddings from the language model (GPT2).    A simple linear projection model to map two text embeddings to a shared latent space. It also inserts learned
embedding vectors at the start and end of each text embedding sequence respectively. Each variable appended with
_1 refers to that corresponding to the second text encoder. Otherwise, it is from the first.  forward  < source > ( hidden_states: Optional = None hidd