class_docstr: A classifier that operates through Sentence Transformer Finetuning (SetFit, [TRE+22]_).
  
  This class is a wrapper which encapsulates the
  `Hugging Face SetFit implementation <https://github.com/huggingface/setfit>_` .
  
  .. note ::
     This strategy requires the optional dependency `setfit`.
  
  .. versionadded:: 1.2.0
code: def __del__(self):
      try:
          attrs = ["model"]
          for attr in attrs:
              delattr(self, attr)
      except Exception:
          pass
  
imports: import types
  import numpy
  from sklearn.exceptions import NotFittedError
  from sklearn.utils.validation import check_is_fitted
  from small_text.base import check_optional_dependency
  from small_text.classifiers.classification import Classifier, EmbeddingMixin
  from small_text.exceptions import UnsupportedOperationException
  from small_text.utils.classification import empty_result, _multi_label_list_to_multi_hot, prediction_result
  from small_text.utils.context import build_pbar_context
  from small_text.utils.labels import csr_to_list
  from small_text.integrations.transformers.classifiers.base import ModelLoadingStrategy
label_desc: Use image node_id 10 for calling the SetFitClassification obj's underlying member method code with example usage: obj.__del__() without return types