code: def model_fit(self, model):
      x = tf.constant([[0.44, 0.90], [0.65, 0.39]])
      y = tf.constant([[1, 1], [0, 0]])
      model.fit(x, y)
      return model
  
imports: import json
  import os
  import unittest
  from pathlib import Path
  import pytest
  from huggingface_hub import HfApi, hf_hub_download, snapshot_download
  from huggingface_hub.keras_mixin import KerasModelHubMixin, from_pretrained_keras, push_to_hub_keras, save_pretrained_keras
  from huggingface_hub.utils import is_graphviz_available, is_pydot_available, is_tf_available, logging
  from .testing_constants import ENDPOINT_STAGING, TOKEN, USER
  from .testing_utils import repo_name
label_desc: Use image node_id 2 for calling the HubKerasSequentialTest obj's underlying member method code with example usage: obj.model_fit(model) and returns: model