code: def _load_pyfunc(path):
      """
      Load PyFunc implementation for SentenceTransformer. Called by ``pyfunc.load_model``.
      :param path: Local filesystem path to the MLflow Model with the ``sentence_transformer`` flavor.
      """
      import sentence_transformers
  
      model = sentence_transformers.SentenceTransformer.load(path)
      return _SentenceTransformerModelWrapper(model)
  
imports: import json
  import logging
  import pathlib
  from typing import Any, Dict, List, Optional, Union
  import numpy
  import pandas
  import yaml
  import mlflow
  from mlflow import pyfunc
  from mlflow.exceptions import MlflowException
  from mlflow.models import Model, ModelInputExample, ModelSignature, infer_pip_requirements
  from mlflow.models.model import MLMODEL_FILE_NAME
  from mlflow.models.signature import _infer_signature_from_input_example
  from mlflow.models.utils import _save_example
  from mlflow.tracking._model_registry import DEFAULT_AWAIT_MAX_SLEEP_SECONDS
  from mlflow.types.schema import ColSpec, Schema, TensorSpec
  from mlflow.utils.annotations import experimental
  from mlflow.utils.docstring_utils import LOG_MODEL_PARAM_DOCS, docstring_version_compatibility_warning, format_docstring
  from mlflow.utils.environment import _CONDA_ENV_FILE_NAME, _CONSTRAINTS_FILE_NAME, _PYTHON_ENV_FILE_NAME, _REQUIREMENTS_FILE_NAME, _mlflow_conda_env, _process_conda_env, _process_pip_requirements, _PythonEnv, _validate_env_arguments
  from mlflow.utils.file_utils import get_total_file_size, write_to
  from mlflow.utils.model_utils import _add_code_from_conf_to_system_path, _download_artifact_from_uri, _get_flavor_configuration_from_uri, _validate_and_copy_code_paths, _validate_and_prepare_target_save_path
  from mlflow.utils.requirements_utils import _get_pinned_requirement
label_desc: Use image node_id 5 for calling a global function with example usage: _load_pyfunc(path) and returns: _SentenceTransformerModelWrapper