code: def test_init_model_kwargs(self):
      from sklearn.multiclass import OneVsRestClassifier
  
      setfit_model_args = SetFitModelArguments(
          "sentence-transformers/all-MiniLM-L6-v2"
      )
      num_classes = 5
  
      if not self.use_differentiable_head:
          model_kwargs = {"multi_target_strategy": "one-vs-rest"}
      else:
          model_kwargs = {}
  
      clf = SetFitClassification(
          setfit_model_args,
          num_classes,
          multi_label=self.multi_label,
          model_kwargs=model_kwargs,
          use_differentiable_head=self.use_differentiable_head,
      )
  
      self.assertEqual(setfit_model_args, clf.setfit_model_args)
      self.assertEqual(num_classes, clf.num_classes)
      self.assertEqual(model_kwargs, clf.model_kwargs)
      self.assertIsNone(clf.device)
      if not self.use_differentiable_head:
          self.assertTrue(
              isinstance(clf.model.model_head, OneVsRestClassifier)
          )
  
imports: import unittest
  import pytest
  from unittest.mock import patch
  from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
label_desc: Use image node_id 3 for calling the _SetFitClassification obj's underlying member method code with example usage: obj.test_init_model_kwargs() without return types