code: def test_push_to_huggingface(
      feedback_dataset_guidelines: str,
      feedback_dataset_fields: List["AllowedFieldTypes"],
      feedback_dataset_questions: List["AllowedQuestionTypes"],
      feedback_dataset_records: List[FeedbackRecord],
      mocked_trainer_push_to_huggingface,
  ) -> None:
      # This framework is not implemented yet. Cross-Encoder models don't implement the functionality
      # for pushing a model to huggingface, and SentenceTransformer models have the functionality
      # but is outdated and doesn't work with the current versions of 'huggingface-hub'.
      # The present test is let here for the future, when we either implement the functionality
      # in 'argilla', or to 'sentence-transformers'.
  
      dataset = FeedbackDataset(
          guidelines=feedback_dataset_guidelines,
          fields=feedback_dataset_fields,
          questions=feedback_dataset_questions,
      )
      dataset.add_records(records=feedback_dataset_records * 2)
  
      task = TrainingTask.for_sentence_similarity(
          formatting_func=formatting_func_sentence_transformers
      )
  
      model = "all-MiniLM-L6-v2"
  
      trainer = ArgillaTrainer(
          dataset=dataset,
          task=task,
          framework=__FRAMEWORK__,
          model=model,
      )
  
      trainer.update_config(max_steps=1)
  
      train_with_cleanup(trainer, __OUTPUT_DIR__)
      with pytest.raises(
          NotImplementedError,
          match="This method is not implemented for `ArgillaSentenceTransformersTrainer`.",
      ):
          trainer.push_to_huggingface("mocked", generate_card=True)
  
file_path: argilla/tests/integration/client/feedback/training/test_sentence_transformers.py
imports: from typing import TYPE_CHECKING, Callable, List, Union
  import pytest
  from argilla.client.feedback.dataset import FeedbackDataset
  from argilla.client.feedback.schemas.fields import TextField
  from argilla.client.feedback.schemas.questions import LabelQuestion
  from argilla.client.feedback.schemas.records import FeedbackRecord
  from argilla.client.feedback.training.base import ArgillaTrainer
  from argilla.client.feedback.training.schemas.base import LabelQuestion, RatingQuestionUnification, TrainingTask
  from sentence_transformers import CrossEncoder, InputExample, SentenceTransformer
  from tests.integration.client.feedback.helpers import formatting_func_sentence_transformers, formatting_func_sentence_transformers_all_lists, formatting_func_sentence_transformers_case_1_b, formatting_func_sentence_transformers_case_2, formatting_func_sentence_transformers_case_3_a, formatting_func_sentence_transformers_case_3_b, formatting_func_sentence_transformers_case_4, formatting_func_sentence_transformers_rating_question
  from tests.integration.training.helpers import train_with_cleanup
label_desc: Use image node_id 6 for calling a global function with example usage: test_push_to_huggingface(feedback_dataset_guidelines, feedback_dataset_fields, feedback_dataset_questions, feedback_dataset_records, mocked_trainer_push_to_huggingface) without return types