How to use the phylib.io.model.TemplateModel function in phylib

def phy_model_from_ks2_path(ks2_path):
    meta_file = next(ks2_path.rglob('*.ap.meta'), None)
    if meta_file and meta_file.exists():
        meta = spikeglx.read_meta_data(meta_file)
        fs = spikeglx._get_fs_from_meta(meta)
        nch = (spikeglx._get_nchannels_from_meta(meta) -
               len(spikeglx._get_sync_trace_indices_from_meta(meta)))
    else:
        fs = 30000
        nch = 384
    bin_file = next(ks2_path.rglob('*.ap.*bin'), None)
    m = model.TemplateModel(dir_path=ks2_path,
                            dat_path=bin_file,  # this assumes the raw data is in the same folder
                            sample_rate=fs,
                            n_channels_dat=nch)
    m.depths = m.get_depths()
    return m

def _create_model(self, dir_path=None, **kwargs):
        return TemplateModel(dir_path=dir_path, **kwargs)