def METHOD_NAME(
    self,
    coords: np.ndarray,
    cells: np.ndarray,
    atom_types: List[int],
    atomic: bool = False,
    fparam: Optional[np.ndarray] = None,
    aparam: Optional[np.ndarray] = None,
    efield: Optional[np.ndarray] = None,
) -> np.ndarray:
    """Evaluate the model.
    Parameters
    ----------
    coords
        The coordinates of atoms.
        The array should be of size nframes x natoms x 3
    cells
        The cell of the region.
        If None then non-PBC is assumed, otherwise using PBC.
        The array should be of size nframes x 9
    atom_types
        The atom types
        The list should contain natoms ints
    atomic
        Not used in this model
    fparam
        Not used in this model
    aparam
        Not used in this model
    efield
        Not used in this model
    Returns
    -------
    tensor
        The returned tensor
        If atomic == False then of size nframes x variable_dof
        else of size nframes x natoms x variable_dof
    """
    return DeepTensor.METHOD_NAME(self, coords, cells, atom_types, atomic=False)