chunk_content: , which may be impractical because you need very large validation sets to find the best prompts. P-tuning is a method for automatically searching and optimizing for better prompts in a continuous space.
  💡 Read GPT Understands, Too to learn more about p-tuning.
  This guide will show you how to train a roberta-large model (but you can also use any of the GPT, OPT, or BLOOM models) with p-tuning on the mrpc configuration of the GLUE benchmark.
  Befo