code: def sentiment_classifier_all_scores():
      from transformers import pipeline
  
      return pipeline(
          model="distilbert-base-uncased-finetuned-sst-2-english",
          task="sentiment-analysis",
          return_all_scores=True,
      )
  
imports: from time import sleep
  from typing import List, Union
  import argilla
  import pytest
  from argilla.client.models import TextClassificationRecord
  from tests.integration.utils import delete_ignoring_errors
label_desc: Use image node_id 7 for calling a global function with example usage: sentiment_classifier_all_scores() and returns: pipeline