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 (Optional[Dict[str, Any]]) – params pass to the
load_word2vec_format()
function of gensim.models.KeyedVectorskwargs (Any) – additional params