code: def get_model(
      name: model_types.AnyModelNameOptions, *, client=None
  ) -> model_types.Model | model_types.TunedModel:
      """Given a model name, fetch the `types.Model` or `types.TunedModel` object.
  
      ```
      import pprint
      model = genai.get_tuned_model(model_name):
      pprint.pprint(model)
      ```
  
      Args:
          name: The name of the model to fetch.
          client: The client to use.
  
      Returns:
          A `types.Model` or `types.TunedModel` object.
      """
      name = model_types.make_model_name(name)
      if name.startswith("models/"):
          return get_base_model(name, client=client)
      elif name.startswith("tunedModels/"):
          return get_tuned_model(name, client=client)
      else:
          raise ValueError(
              "Model names must start with `models/` or `tunedModels/`"
          )
  
imports: from __future__ import annotations
  import typing
  from typing import Any, Literal
  import google.ai.generativelanguage
  from google.generativeai import operations
  from google.generativeai.client import get_default_model_client
  from google.generativeai.types import model_types
  from google.api_core import operation
  from google.api_core import protobuf_helpers
  from google.protobuf import field_mask_pb2
label_desc: Use image node_id 1 for calling a global function with example usage: get_model(name) and returns: get_base_model, get_tuned_model