code: def log_sentence_transformers_model():
      model = SentenceTransformer("all-MiniLM-L6-v2")
      artifact_path = "gen_model"
  
      with mlflow.start_run():
          mlflow.sentence_transformers.log_model(
              model,
              artifact_path=artifact_path,
          )
          model_uri = mlflow.get_artifact_uri(artifact_path)
      return model_uri
  
imports: import asyncio
  import json
  import os
  import signal
  import subprocess
  import sys
  import threading
  import time
  from collections import namedtuple
  from pathlib import Path
  from typing import Any, Dict, Union
  from unittest import mock
  import aiohttp
  import requests
  import transformers
  import uvicorn
  import yaml
  from sentence_transformers import SentenceTransformer
  import mlflow
  from mlflow.deployments.server import app
  from mlflow.gateway.utils import kill_child_processes
  from tests.helper_functions import _get_mlflow_home, _start_scoring_proc, get_safe_port
label_desc: Use image node_id 3 for calling a global function with example usage: log_sentence_transformers_model() and returns: model_uri