def METHOD_NAME(self) -> None:
    asset_name = "wiki.en.vec"
    asset_path = get_asset_path(asset_name)
    with tempfile.TemporaryDirectory() as dir_name:
        data_path = os.path.join(dir_name, asset_name)
        shutil.copy(asset_path, data_path)
        vector_transform = VectorTransform(FastText(root=dir_name, validate_file=False))
        jit_vector_transform = torch.jit.script(vector_transform)
        # The first 3 entries in each vector.
        expected_fasttext_simple_en = torch.tensor(
            [[-0.065334, -0.093031, -0.017571], [-0.32423, -0.098845, -0.0073467]]
        )
        self.assertEqual(vector_transform(["the", "world"])[:, 0:3], expected_fasttext_simple_en)
        self.assertEqual(jit_vector_transform(["the", "world"])[:, 0:3], expected_fasttext_simple_en)