class_docstr: Raised if a specified model is not supported by the endpoint.
class_docstr_tok: ["Raised","if","a","specified","model","is","not","supported","by","the","endpoint","."]
code: def __init__(self, model, api_endpoint) -> None:
      super().__init__(
          f"The specified model {model} is not supported "
          f"on the API endpoint {api_endpoint}"
      )
  
imports: import os
  import google.generativeai
  from ratelimit import limits, sleep_and_retry
  from typing import List
label_desc: Use image node_id 1 to create a new PaLMUnsupportedModelError object from inherited base classes: Error, RuntimeError with example: obj = PaLMUnsupportedModelError(model, api_endpoint)