class_docstr: Base class to implement a new Hugging Face LLM.
  
  LLM base class is extended to be used with HuggingFace LLM Modes APIs.
docstr: A call method of HuggingFaceLLM class.
  Args:
      instruction (AbstractPrompt): A prompt object with instruction for LLM.
      suffix (str): A string representing the suffix to be truncated
          from the generated response.
  
  Returns
      str: LLM response.
docstr_tok: ["A","call","method","of","HuggingFaceLLM","class",".","Args",":","instruction","(","AbstractPrompt",")",":","A","prompt","object","with","instruction","for","LLM",".","suffix","(","str",")",":","A","string","representing","the","suffix","to","be","truncated","from","the","generated","response",".","Returns","str",":","LLM","response","."]
code: def call(self, instruction: AbstractPrompt, suffix: str = "") -> str:
      """
      A call method of HuggingFaceLLM class.
      Args:
          instruction (AbstractPrompt): A prompt object with instruction for LLM.
          suffix (str): A string representing the suffix to be truncated
              from the generated response.
  
      Returns
          str: LLM response.
  
      """
  
      prompt = instruction.to_string()
      payload = prompt + suffix
  
      # sometimes the API doesn't return a valid response, so we retry passing the
      # output generated from the previous call as the input
      for _i in range(self._max_retries):
          response = self.query({"inputs": payload})
          payload = response
  
          match = re.search(
              "(```python)(.*)(```)",
              response.replace(prompt + suffix, ""),
              re.DOTALL | re.MULTILINE,
          )
          if match:
              break
  
      return response.replace(prompt + suffix, "")
  
imports: import os
  import ast
  import re
  from abc import abstractmethod
  from typing import Any, Dict, Optional, Union, Mapping, Tuple
  import requests
  from ..exceptions import APIKeyNotFoundError, MethodNotImplementedError, NoCodeFoundError, LLMResponseHTTPError
  from ..helpers.openai import is_openai_v1
  from ..helpers.openai_info import openai_callback_var
  from ..prompts.base import AbstractPrompt
label_desc: Use image node_id 5 for calling the HuggingFaceLLM obj's underlying member method code with example usage: obj.call(instruction, suffix) and returns: response