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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def embed_sentence(self, sentence: List[str]) -> numpy.ndarray: """ 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. """


        return self.embed_batch([sentence])[0]