code: def setUp(self):
      super().setUp()
      # model_name
      self.model_name = "bigscience/bloom-560m"
      self.seq_to_seq_name = "t5-small"
  
      # Different types of model
  
      self.base_model = AutoModel.from_pretrained(
          self.model_name, load_in_4bit=True, device_map="auto"
      )
      # Sequence classification model
      self.sequence_model = (
          AutoModelForSequenceClassification.from_pretrained(
              self.model_name, load_in_4bit=True, device_map="auto"
          )
      )
      # CausalLM model
      self.model_4bit = AutoModelForCausalLM.from_pretrained(
          self.model_name, load_in_4bit=True, device_map="auto"
      )
      # Seq2seq model
      self.seq_to_seq_model = AutoModelForSeq2SeqLM.from_pretrained(
          self.seq_to_seq_name, load_in_4bit=True, device_map="auto"
      )
  
imports: import gc
  import importlib.metadata
  import tempfile
  import unittest
  from packaging import version
  from transformers import AutoConfig, AutoModel, AutoModelForCausalLM, AutoModelForSeq2SeqLM, AutoModelForSequenceClassification, AutoTokenizer, BitsAndBytesConfig, pipeline
  from transformers.testing_utils import is_bitsandbytes_available, is_torch_available, require_accelerate, require_bitsandbytes, require_torch, require_torch_gpu, require_torch_multi_gpu, slow, torch_device
label_desc: Use image node_id 1 for calling the Classes4BitModelTest obj's underlying member method code with example usage: obj.setUp() without return types