chunk_content: he base model, 🤗 Datasets to load a dataset, 🤗 Evaluate to load an evaluation metric, and 🤗 PEFT to create a PeftModel and setup the configuration for p-tuning.
  Define the model, dataset, and some basic training hyperparameters:
  
  
  	Copied
  from transformers import (
      AutoModelForSequenceClassification,
      AutoTokenizer,
      DataCollatorWithPadding,
      TrainingArguments,
      Trainer,
  )
  from peft import (
      get_peft_config,
      get_peft_mod