code: def load_flax_checkpoint_in_pytorch_model(pt_model, model_file):
      try:
          with open(model_file, "rb") as flax_state_f:
              flax_state = from_bytes(None, flax_state_f.read())
      except UnpicklingError as e:
          try:
              with open(model_file) as f:
                  if f.read().startswith("version"):
                      raise OSError(
                          "You seem to have cloned a repository without having git-lfs installed. Please"
                          " install git-lfs and run `git lfs install` followed by `git lfs pull` in the"
                          " folder you cloned."
                      )
                  else:
                      raise ValueError from e
          except (UnicodeDecodeError, ValueError):
              raise EnvironmentError(
                  f"Unable to convert {model_file} to Flax deserializable object. "
              )
  
      return load_flax_weights_in_pytorch_model(pt_model, flax_state)
  
file_path: llmga/llmga/diffusers/src/diffusers/models/modeling_pytorch_flax_utils.py
imports: from pickle import UnpicklingError
  import jax
  import jax.numpy
  import numpy
  from flax.serialization import from_bytes
  from flax.traverse_util import flatten_dict
  from ..utils import logging
label_desc: Use image node_id 1 for calling a global function with example usage: load_flax_checkpoint_in_pytorch_model(pt_model, model_file) and returns: load_flax_weights_in_pytorch_model