class_docstr: Test suite for the 'has_nan_or_inf_tensors' function, which checks for NaN or infinity (inf) values in
  PyTorch tensors.
code: def test_has_nan_or_inf_tensors_transformer_model_with_nan(self):
      self.transformer_model.model.embed_tokens.weight.data[0][
          0
      ] = float("nan")
      assert contains_nan_or_inf_tensors(self.transformer_model) is True
  
imports: import pytest
  import torch
  from transformers import AutoModelForCausalLM
  from ludwig.utils.model_utils import contains_nan_or_inf_tensors, extract_tensors, find_embedding_layer_with_path, replace_tensors
label_desc: Use image node_id 6 for calling the TestHasNanOrInfTensors obj's underlying member method code with example usage: obj.test_has_nan_or_inf_tensors_transformer_model_with_nan() without return types