code: def create(embedding_name, **kwargs):
      
  
      create_text_embedding = registry.get_create_func(TokenEmbedding, 'token embedding')
      return create_text_embedding(embedding_name, **kwargs)
docs: Creates an instance of token embedding.
  
  
      Creates a token embedding instance by loading embedding vectors from an externally hosted
      pre-trained token embedding file, such as those of GloVe and FastText. To get all the valid
      `embedding_name` and `source`, use :func:`gluonnlp.embedding.list_sources`.
  
  
      Parameters
      ----------
      embedding_name : str
          The token embedding name (case-insensitive).
      kwargs : dict
          All other keyword arguments are passed to the initializer of token
          embedding class. For example `create(embedding_name='fasttext',
          source='wiki.simple', load_ngrams=True)` will return
          `FastText(source='wiki.simple', load_ngrams=True)`.
  
  
      Returns
      -------
      An instance of :class:`gluonnlp.embedding.TokenEmbedding`:
          A token embedding instance that loads embedding vectors from an externally hosted
          pre-trained token embedding file.