code: def get_default_sampling_params():
      # default do greedy sampling
      sampling_params: SamplingParam = {
          "use_greedy": True,
          "temperature": 1.0,
          "top_k": 0,
          "top_p": 1.0,
          "repetition_penalty": 1.0,
          "add_BOS": True,
          "all_probs": False,
          "compute_logprob": False,
          "end_strings": ["<|endoftext|>", "<extra_id_1>"],
      }
  
      return sampling_params
  
imports: import os
  import pickle
  import re
  from collections.abc import Iterable
  from functools import partial
  from typing import Callable, Tuple
  import numpy
  import torch
  import torch.nn.functional
  from nemo.collections.common.tokenizers.tabular_tokenizer import TabularTokenizer
  from nemo.collections.nlp.modules.common.megatron.utils import get_ltor_masks_and_position_ids
  from nemo.collections.nlp.modules.common.text_generation_strategy import model_inference_strategy_dispatcher
  from nemo.collections.nlp.modules.common.transformer.text_generation import LengthParam, OutputType, SamplingParam
  from nemo.utils import AppState
label_desc: Use image node_id 1 for calling a global function with example usage: get_default_sampling_params() and returns: sampling_params