code: def load_model(bento_model: str | Tag | Model) -> easyocr.Reader:
      """
      Load the EasyOCR model from BentoML local model store with given name.
  
      Args:
          bento_model: Either the tag of the model to get from the store,
                       or a BentoML :class:`~bentoml.Model` instance to load the
                       model from.
  
      Returns:
          ``easyocr.Reader``: The EasyOCR model from the model store.
  
      Example:
  
      .. code-block:: python
  
          import bentoml
          reader = bentoml.easyocr.load_model('en_reader:latest')
      """
      if not isinstance(bento_model, Model):
          bento_model = get(bento_model)
  
      if bento_model.info.module not in (MODULE_NAME, __name__):
          raise NotFound(
              f"Model {bento_model.tag} was saved with module {bento_model.info.module}, not loading with {MODULE_NAME}."
          )
      with open(bento_model.path_of(MODEL_FILENAME), "rb") as f:
          return cloudpickle.load(f)
  
file_path: BentoML/src/bentoml/_internal/frameworks/easyocr.py
imports: from __future__ import annotations
  import logging
  import typing
  from types import ModuleType
  import cloudpickle
  import bentoml
  from ...exceptions import MissingDependencyException
  from ...exceptions import NotFound
  from ..models.model import Model
  from ..models.model import ModelContext
  from ..models.model import ModelOptions
  from ..models.model import ModelSignature
  from ..tag import Tag
  from ..utils.pkg import get_pkg_version
  from .common.pytorch import PyTorchTensorContainer
label_desc: Use image node_id 2 for calling a global function with example usage: load_model(bento_model) and returns: cloudpickle