class_docstr: Testing suite for v-head models.
code: def test_push_to_hub(self):
      for model_name in self.all_model_names:
          model = AutoModelForCausalLMWithValueHead.from_pretrained(
              model_name
          )
          if "sharded" in model_name:
              model.push_to_hub(
                  model_name + "-ppo",
                  use_auth_token=True,
                  max_shard_size="1MB",
              )
          else:
              model.push_to_hub(
                  model_name + "-ppo", use_auth_token=True
              )
  
          model_from_pretrained = (
              AutoModelForCausalLMWithValueHead.from_pretrained(
                  model_name + "-ppo"
              )
          )
          # check all keys
          self.assertEqual(
              model.state_dict().keys(),
              model_from_pretrained.state_dict().keys(),
          )
  
          for name, param in model.state_dict().items():
              self.assertTrue(
                  torch.allclose(
                      param, model_from_pretrained.state_dict()[name]
                  ),
                  f"Parameter {name} is not the same after push_to_hub and from_pretrained",
              )
  
imports: import gc
  import tempfile
  import unittest
  import torch
  from transformers import AutoModel, AutoModelForCausalLM, AutoModelForSeq2SeqLM
  from trl import AutoModelForCausalLMWithValueHead, AutoModelForSeq2SeqLMWithValueHead, create_reference_model
label_desc: Use image node_id 8 for calling the CausalLMValueHeadModelTester obj's underlying member method code with example usage: obj.test_push_to_hub() without return types