code: def install_dependencies(include_framework: List[str]):
      if "onnx" in include_framework:
          install_tf2onnx()
  
imports: import os
  import platform
  import subprocess
  import sys
  from abc import ABC
  from pathlib import Path
  from typing import List
  import cpuinfo
  from loguru import logger
  from nebullvm.config import LIBRARIES_GPU
  from nebullvm.operations.optimizations.compilers.utils import deepsparse_is_available, get_faster_transformer_repo_path, intel_neural_compressor_is_available, openvino_is_available, tensorrt_is_available, torch_tensorrt_is_available
  from nebullvm.optional_modules.torch import torch
  from nebullvm.tools.utils import check_module_version, gpu_is_available
label_desc: Use image node_id 1 for calling the TensorflowInstaller obj's underlying member method code with example usage: obj.install_dependencies(include_framework) without return types