class_docstr: Client for the Google models. There isn't an API for their language models.
  We receive and process completions offline.
class_docstr_tok: ["Client","for","the","Google","models",".","There","is","n't","an","API","for","their","language","models",".","We","receive","and","process","completions","offline","."]
code: def tokenize(
      self, request: TokenizationRequest
  ) -> TokenizationRequestResult:
      raise NotImplementedError(
          "Use the HuggingFaceClient to tokenize."
      )
  
file_path: H2O/h2o_hf/helm/src/helm/proxy/clients/google_client.py
imports: from typing import List, Dict
  from helm.common.cache import Cache, CacheConfig
  from helm.common.request import Request, RequestResult, Sequence, Token
  from helm.common.tokenization_request import TokenizationRequest, TokenizationRequestResult, DecodeRequest, DecodeRequestResult
  from .client import Client, truncate_sequence
label_desc: Use image node_id 4 for calling the GoogleClient obj's underlying member method code with example usage: obj.tokenize(request) without return types