code: def _get_model_framework(model: Any) -> str:
      if isinstance(model, Module):
          return "torch"
      elif isinstance(model, tf.Module) and model is not None:
          return "tensorflow"
      else:
          return "numpy"
  
imports: import copy
  import re
  from abc import ABC, abstractmethod
  from pathlib import Path
  from tempfile import mkdtemp
  from typing import Dict, Any, Callable
  import numpy
  import yaml
  from nebullvm.operations.optimizations.compressors.base import Compressor
  from nebullvm.optional_modules.neural_compressor import Pruning
  from nebullvm.optional_modules.tensorflow import tensorflow
  from nebullvm.optional_modules.torch import DataLoader, Dataset, Module
  from nebullvm.tools.data import DataManager
label_desc: Use image node_id 1 for calling a global function with example usage: _get_model_framework(model) and returns: str, str, str