code: def decode_text_from_greedy_hypotheses(hyps, decoding):
      decoded_hyps = decoding.decode_hypothesis(hyps)  # type: List[str]
  
      return decoded_hyps
  
imports: import os
  from functools import lru_cache
  import pytest
  import torch
  from omegaconf import DictConfig
  from nemo.collections.asr.models import ASRModel
  from nemo.collections.asr.modules import RNNTDecoder, RNNTJoint
  from nemo.collections.asr.parts.mixins import mixins
  from nemo.collections.asr.parts.submodules import rnnt_beam_decoding
  from nemo.collections.asr.parts.submodules import rnnt_greedy_decoding
  from nemo.collections.asr.parts.submodules.rnnt_decoding import RNNTBPEDecoding, RNNTDecoding, RNNTDecodingConfig
  from nemo.collections.asr.parts.utils import rnnt_utils
  from nemo.core.utils import numba_utils
  from nemo.core.utils.numba_utils import __NUMBA_MINIMUM_VERSION__
label_desc: Use image node_id 6 for calling a global function with example usage: decode_text_from_greedy_hypotheses(hyps, decoding) and returns: decoded_hyps