chunk_content:  input sequence can still attend to the prefix as virtual tokens. As a result, prefix tuning stores 1000x fewer parameters than a fully finetuned model, which means you can use one large language model for many tasks.
  💡 Read Prefix-Tuning: Optimizing Continuous Prompts for Generation to learn more about prefix tuning. 
  This guide will show you how to apply prefix tuning to train a t5-large model on the sentences_allagree subset of the financial