code: def test_monitor_non_supported_huggingface_model(argilla_user: User):
      with warnings.catch_warnings(record=True) as warning_list:
          from transformers import (
              AutoModelForTokenClassification,
              AutoTokenizer,
              pipeline,
          )
  
          tokenizer = AutoTokenizer.from_pretrained(
              "dslim/bert-base-NER"
          )
          model = AutoModelForTokenClassification.from_pretrained(
              "dslim/bert-base-NER"
          )
  
          nlp = pipeline("ner", model=model, tokenizer=tokenizer)
          maybe_monitored = argilla.monitor(nlp, dataset="ds")
          assert nlp == maybe_monitored
          assert any(
              [
                  warning.message.args[0]
                  == "The provided task model is not supported by monitoring module. "
                  "Predictions won't be logged into argilla."
                  for warning in warning_list
              ]
          )
  
imports: import warnings
  import argilla
  from argilla.server.models import User
label_desc: Use image node_id 2 for calling a global function with example usage: test_monitor_non_supported_huggingface_model(argilla_user) without return types