def setup(self, args, state, model):
        """
        Setup the optional Comet.ml integration.

        Environment:
        - **COMET_MODE** (`str`, *optional*, defaults to `ONLINE`):
            Whether to create an online, offline experiment or disable Comet logging. Can be `OFFLINE`, `ONLINE`, or
            `DISABLED`.
        - **COMET_PROJECT_NAME** (`str`, *optional*):
            Comet project name for experiments.
        - **COMET_OFFLINE_DIRECTORY** (`str`, *optional*):
            Folder to use for saving offline experiments when `COMET_MODE` is `OFFLINE`.
        - **COMET_LOG_ASSETS** (`str`, *optional*, defaults to `TRUE`):
            Whether or not to log training assets (tf event logs, checkpoints, etc), to Comet. Can be `TRUE`, or
            `FALSE`.

        For a number of configurable items in the environment, see
        [here](https://www.comet.ml/docs/python-sdk/advanced/#comet-configuration-variables).
        """
        self._initialized = True
        log_assets = os.getenv("COMET_LOG_ASSETS", "FALSE").upper()
        if log_assets in {"TRUE", "1"}:
            self._log_assets = True
        if state.is_world_process_zero:
            comet_mode = os.getenv("COMET_MODE", "ONLINE").upper()
            experiment = None
            experiment_kwargs = {"project_name": os.getenv("COMET_PROJECT_NAME", "huggingface")}
            if comet_mode == "ONLINE":
                experiment = comet_ml.Experiment(**experiment_kwargs)
                experiment.log_other("Created from", "transformers")
                logger.info("Automatic Comet.ml online logging enabled")
            elif comet_mode == "OFFLINE":
                experiment_kwargs["offline_directory"] = os.getenv("COMET_OFFLINE_DIRECTORY", "./")
                experiment = comet_ml.OfflineExperiment(**experiment_kwargs)
                experiment.log_other("Created from", "transformers")
                logger.info("Automatic Comet.ml offline logging enabled; use `comet upload` when finished")
            if experiment is not None:
                experiment._set_model_graph(model, framework="transformers")
                experiment._log_parameters(args, prefix="args/", framework="transformers")
                if hasattr(model, "config"):
                    experiment._log_parameters(model.config, prefix="config/", framework="transformers")

        Setup the optional Comet.ml integration.

        Environment:
        - **COMET_MODE** (`str`, *optional*, defaults to `ONLINE`):
            Whether to create an online, offline experiment or disable Comet logging. Can be `OFFLINE`, `ONLINE`, or
            `DISABLED`.
        - **COMET_PROJECT_NAME** (`str`, *optional*):
            Comet project name for experiments.
        - **COMET_OFFLINE_DIRECTORY** (`str`, *optional*):
            Folder to use for saving offline experiments when `COMET_MODE` is `OFFLINE`.
        - **COMET_LOG_ASSETS** (`str`, *optional*, defaults to `TRUE`):
            Whether or not to log training assets (tf event logs, checkpoints, etc), to Comet. Can be `TRUE`, or
            `FALSE`.

        For a number of configurable items in the environment, see
        [here](https://www.comet.ml/docs/python-sdk/advanced/#comet-configuration-variables).
        
dpkd/transformers/src/transformers/integrations/integration_utils.py