chunk_content: assification usually assigns a single class label to a sequence of text. By casting it as a text generation task, the tokens that make up the class label are generated. Prompts are added to the input as a series of tokens. Typically, the model parameters are fixed which means the prompt tokens are also fixed by the model parameters.
  The key idea behind prompt tuning is that prompt tokens have their own parameters that are updated independently.