code: def __init__(self, *args, **kwargs):
      # For consistency with transformers: https://github.com/huggingface/transformers/blob/91d7df58b6537d385e90578dac40204cb550f706/src/transformers/models/auto/auto_factory.py#L400
      raise EnvironmentError(
          f"{self.__class__.__name__} is designed to be instantiated "
          f"using the `{self.__class__.__name__}.from_pretrained(pretrained_model_name_or_path)` or "
          f"`{self.__class__.__name__}.from_config(config)` methods."
      )
  
imports: from __future__ import annotations
  import importlib
  from typing import Optional
  from transformers import AutoModel, AutoModelForCausalLM, AutoModelForQuestionAnswering, AutoModelForSeq2SeqLM, AutoModelForSequenceClassification, AutoModelForTokenClassification
  from .config import PeftConfig
  from .mapping import MODEL_TYPE_TO_PEFT_MODEL_MAPPING
  from .peft_model import PeftModel, PeftModelForCausalLM, PeftModelForFeatureExtraction, PeftModelForQuestionAnswering, PeftModelForSeq2SeqLM, PeftModelForSequenceClassification, PeftModelForTokenClassification
label_desc: Use image node_id 1 to create a new _BaseAutoPeftModel object  with example: obj = _BaseAutoPeftModel()