Word Embedding

WordEmbedding is a tf.keras.layers.Embedding layer with pre-trained Word2Vec/GloVe Emedding weights.

kashgari.embeddings.WordEmbedding.__init__(self, w2v_path, *, w2v_kwargs=None, **kwargs)

Parameters

• w2v_path (str) – Word2Vec file path.

• w2v_kwargs (Dict[str, Any]) – params pass to the load_word2vec_format() function of gensim.models.KeyedVectors

• kwargs (Any) – additional params