How to use the hanlp.utils.log_util.logger.debug function in hanlp

with open(realpath, encoding='utf-8', errors='ignore') as f:
        for idx, line in enumerate(f):
            line = line.rstrip().split(delimiter)
            if len(line) > 2:
                if dim is None:
                    dim = len(line)
                else:
                    if len(line) != dim:
                        logger.warning('{}#{} length mismatches with {}'.format(path, idx + 1, dim))
                        continue
                word, vec = line[0], line[1:]
                word2vec[word] = np.array(vec, dtype=np.float32)
    dim -= 1
    if cache:
        save_pickle((word2vec, dim), binpath)
        logger.debug(f'Cached {binpath}')
    return word2vec, dim

def __init__(self, filepath: str, padding=PAD, name=None, **kwargs):
        self.padding = padding.encode('utf-8')
        self.filepath = filepath
        filepath = get_resource(filepath)
        assert os.path.isfile(filepath), f'Resolved path {filepath} is not a file'
        existed = global_cache.get(filepath, None)
        if existed:
            logger.debug('Use cached fasttext model [{}].'.format(filepath))
            self.model = existed
        else:
            logger.debug('Loading fasttext model from [{}].'.format(filepath))
            # fasttext print a blank line here
            with stdout_redirected(to=os.devnull, stdout=sys.stderr):
                self.model = fasttext.load_model(filepath)
            global_cache[filepath] = self.model
        kwargs.pop('input_dim', None)
        kwargs.pop('output_dim', None)
        kwargs.pop('mask_zero', None)
        if not name:
            name = os.path.splitext(os.path.basename(filepath))[0]
        super().__init__(input_dim=len(self.model.words), output_dim=self.model['king'].size,
                         mask_zero=padding is not None, trainable=False, dtype=tf.string, name=name, **kwargs)
        embed_fn = np.frompyfunc(self.embed, 1, 1)
        # vf = np.vectorize(self.embed, otypes=[np.ndarray])