How can i get the predicted class labels in mnist tensorflow python?

after training mnist tensor flow model and below I test model. I don't know how we extract the predict labels results list. It just gives me accuracy and loss value. Anyone can help me to solve this question?

 # Evaluate the model and print results
  eval_input_fn = tf.compat.v1.estimator.inputs.numpy_input_fn(
      x={"x": eval_data},
      y=eval_labels,
      num_epochs=1,
      shuffle=False)
  eval_results = mnist_classifier.evaluate(input_fn=eval_input_fn)