code: def load_for(self, model: str) -> Tuple[list, list]:
          
          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
docs: Injects the model parameters, reloading if they changed, and returning the data