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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def load_for(self, model: str) -> Tuple[list, list]: """Injects the model parameters, reloading if they changed, and returning the data"""

        inject_params(model)
        if self.prev_cache != pr.vectorization_md5_hash():
            self.prev_cache = pr.vectorization_md5_hash()
            self.data = self.loader()
        return self.data