ensor):
Text embeddings generated from the GPT2 langauge model.
  Encodes the prompt into text encoder hidden states.  Example:   Copied >>> import scipy
>>> import torch
>>> from diffusers import AudioLDM2Pipeline

>>> repo_id = "cvssp/audioldm2"
>>> pipe = AudioLDM2Pipeline.from_pretrained(repo_id, torch_dtype=torch.float16)
>>> pipe = pipe.to("cuda")

>>> # Get text embedding vectors
>>> prompt_embeds, attention_mask, generated_prompt_embeds