code: def fixture_no_mlmodel(URI: Path) -> Tag:
      bento_model = bentoml.mlflow.import_model("IrisClf", str(URI))
      info = bentoml.models.get(bento_model.tag)
      os.remove(
          str(Path(info.path, "mlflow_model", "MLmodel").resolve())
      )
      return bento_model.tag
  
imports: from __future__ import annotations
  import os
  import typing
  from pathlib import Path
  from typing import TYPE_CHECKING
  import mlflow
  import mlflow.models
  import mlflow.sklearn
  import mlflow.tracking
  import numpy
  import psutil
  import pytest
  from sklearn.datasets import load_iris
  from sklearn.neighbors import KNeighborsClassifier
  import bentoml
  from bentoml._internal.models.model import ModelContext
  from bentoml.exceptions import BentoMLException
  from bentoml.exceptions import NotFound
label_desc: Use image node_id 5 for calling a global function with example usage: fixture_no_mlmodel(URI) and returns: bento_model