(self, sentences, oov_way='avg', filter_spec_tokens=True)
return self.embedding(sentences, oov_way, filter_spec_tokens)
Get tokens, tokens embedding

        Parameters
        ----------
        sentences : List[str]
            sentences for encoding.
        oov_way : str, default avg.
            use **avg**, **sum** or **last** to get token embedding for those out of
            vocabulary words
        filter_spec_tokens : bool
            filter [CLS], [SEP] tokens.

        Returns
        -------
        List[(List[str], List[ndarray])]
            List of tokens, and tokens embedding
Get tokens, tokens embedding
Get tokens tokens embedding
def __call__(self, sentences, oov_way='avg', filter_spec_tokens=True):
        """
        Get tokens, tokens embedding

        Parameters
        ----------
        sentences : List[str]
            sentences for encoding.
        oov_way : str, default avg.
            use **avg**, **sum** or **last** to get token embedding for those out of
            vocabulary words
        filter_spec_tokens : bool
            filter [CLS], [SEP] tokens.

        Returns
        -------
        List[(List[str], List[ndarray])]
            List of tokens, and tokens embedding
        """
        return self.embedding(sentences, oov_way, filter_spec_tokens)
def __call__ ( self , sentences , oov_way = 'avg' , filter_spec_tokens = True ) : return self . embedding ( sentences , oov_way , filter_spec_tokens )