code: def RepresentationField(
      default: str = "dense",
      description: str = None,
      parameter_metadata: ParameterMetadata = None,
  ) -> Field:
      description = description or (
          "Representation of the embedding. `dense` means the embeddings are initialized randomly, "
          "`sparse` means they are initialized to be one-hot encodings."
      )
      parameter_metadata = (
          parameter_metadata or COMMON_METADATA["representation"]
      )
      return schema_utils.StringOptions(
          ["dense", "sparse"],
          default=default,
          description=description,
          parameter_metadata=parameter_metadata,
      )
  
imports: from dataclasses import Field
  from typing import Optional
  from ludwig.schema import utils
  from ludwig.schema.metadata import COMMON_METADATA
  from ludwig.schema.metadata.parameter_metadata import ParameterMetadata
  from ludwig.utils.torch_utils import initializer_registry
label_desc: Use image node_id 17 for calling a global function with example usage: RepresentationField(default, description, parameter_metadata) and returns: schema_utils