chunk_content: 	
  Start by defining the model and tokenizer, the dataset and the dataset columns to train on, some training hyperparameters, and the PromptTuningConfig. The PromptTuningConfig contains information about the task type, the text to initialize the prompt embedding, the number of virtual tokens, and the tokenizer to use:
  
  
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  from transformers import AutoModelForCausalLM, AutoTokenizer, default_data_collator, get_linear_schedule_with_warmup
  fr