A trained model used to linearly project the hidden-states from the first and second text encoder models
and insert learned SOS and EOS token embeddings. The projected hidden-states from the two text encoders are
concatenated to give the input to the language model. A Learned Position Embedding for the Vits
hidden-states
language_model ([`~transformers.GPT2Model`]):
An auto-regressive language model used to generate a sequence of hidden-states conditioned on the projected