docstr: Uploads the model to [huggingface's model hub](https://huggingface.co/models).
  
  The full list of parameters can be seen at:
  [huggingface_hub](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.ModelHubMixin.push_to_hub).
  
  Args:
      repo_id:
          The name of the repository you want to push your model and tokenizer to.
          It should contain your organization name when pushing to a given organization.
code: def push_to_huggingface(self, repo_id: str, **kwargs) -> None:
      """Uploads the model to [huggingface's model hub](https://huggingface.co/models).
  
      The full list of parameters can be seen at:
      [huggingface_hub](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.ModelHubMixin.push_to_hub).
  
      Args:
          repo_id:
              The name of the repository you want to push your model and tokenizer to.
              It should contain your organization name when pushing to a given organization.
      """
      if not self.trainer_model:
          raise ValueError(
              "The model must be initialized prior to this point. You can either call `train` or `init_model`."
          )
      model_url = self.trainer_model.push_to_hub(repo_id, **kwargs)
      self._logger.info(f"Model pushed to: {model_url}")
      tokenizer_url = self.trainer_tokenizer.push_to_hub(
          repo_id, **kwargs
      )
      self._logger.info(f"Tokenizer pushed to: {tokenizer_url}")
  
file_path: argilla/src/argilla/client/feedback/training/frameworks/peft.py
imports: from typing import TYPE_CHECKING
  from argilla.client.feedback.training.frameworks.transformers import ArgillaTransformersTrainer
  from argilla.training.peft import ArgillaPeftTrainer
  from argilla.utils.dependency import requires_dependencies
label_desc: Use image node_id 3 for calling the ArgillaPeftTrainer obj's underlying member method code with example usage: obj.push_to_huggingface(repo_id) without return types