chunk_content: ig) — The configuration of the prompt embedding.
  
  
  word_embeddings (torch.nn.Module) — The word embeddings of the base transformer model.
  
  
  
  The model to encode virtual tokens into prompt embeddings.
  Attributes:
  embedding (torch.nn.Embedding) — The embedding layer of the prompt embedding.
  
  Example:
  
  
  	Copied
  >>> from peft import PromptEmbedding, PromptTuningConfig
  
  >>> config = PromptTuningConfig(
  ...     peft_type="PROMPT_TUNING",
  ...     task