def METHOD_NAME(self):
    """
    loads the model and the tokenizer and initializes the pipeline based on them.
    """
    # Loading the pretrained model:
    if self.model_class:
        model_object = getattr(transformers, self.model_class)
        self.model = model_object.from_pretrained(self.model_name)
    # Loading the pretrained tokenizer:
    if self.tokenizer_class:
        tokenizer_object = getattr(transformers, self.tokenizer_class)
        self.tokenizer = tokenizer_object.from_pretrained(self.tokenizer_name)
    # Initializing the pipeline:
    self.pipe = transformers.pipeline(
        task=self.task,
        model=self.model or self.model_name,
        tokenizer=self.tokenizer,
        framework=self.framework,
    )