code: def init_od_llr(state_dict: Dict, models: tuple) -> LLR:
      """
      Initialize LLR detector.
  
      Parameters
      ----------
      state_dict
          Dictionary containing the parameter values.
      models
          Tuple containing the model and background model.
  
      Returns
      -------
      Initialized LLR instance.
      """
      od = LLR(
          threshold=state_dict["threshold"],
          model=models[0],
          model_background=models[1],
          log_prob=state_dict["log_prob"],
          sequential=state_dict["sequential"],
      )
      if models[2] is not None and models[3] is not None:
          od.model_s = models[2]
          od.model_b = models[3]
      return od
  
imports: import logging
  import os
  from importlib import import_module
  import warnings
  from functools import partial
  from pathlib import Path
  from typing import Callable, Dict, List, Optional, Tuple, Union, Type
  import dill
  import tensorflow
  from tensorflow_probability.python.distributions.distribution import Distribution
  from transformers import AutoTokenizer
  from alibi_detect.ad import AdversarialAE, ModelDistillation
  from alibi_detect.ad.adversarialae import DenseHidden
  from alibi_detect.cd import ChiSquareDrift, ClassifierDrift, KSDrift, MMDDrift, TabularDrift
  from alibi_detect.cd.tensorflow import UAE, HiddenOutput
  from alibi_detect.cd.tensorflow.preprocess import _Encoder
  from alibi_detect.models.tensorflow import PixelCNN, TransformerEmbedding
  from alibi_detect.models.tensorflow.autoencoder import AE, AEGMM, VAE, VAEGMM, DecoderLSTM, EncoderLSTM, Seq2Seq
  from alibi_detect.od import LLR, IForest, Mahalanobis, OutlierAE, OutlierAEGMM, OutlierProphet, OutlierSeq2Seq, OutlierVAE, OutlierVAEGMM, SpectralResidual
  from alibi_detect.od.llr import build_model
  from alibi_detect.utils.tensorflow.kernels import DeepKernel
  from alibi_detect.utils.frameworks import Framework
  from alibi_detect.version import __version__
  from alibi_detect.base import Detector
  from alibi_detect.saving._typing import VALID_DETECTORS
label_desc: Use image node_id 32 for calling a global function with example usage: init_od_llr(state_dict, models) and returns: od