code: def embed_sentence(self, sentence: List[str]) -> numpy.ndarray:
          
  
          return self.embed_batch([sentence])[0]
docs: Computes the ELMo embeddings for a single tokenized sentence.
  
          Please note that ELMo has internal state and will give different results for the same input.
          See the comment under the class definition.
  
          Parameters
          ----------
          sentence : ``List[str]``, required
              A tokenized sentence.
  
          Returns
          -------
          A tensor containing the ELMo vectors.