def METHOD_NAME(self, emissions, masks=None, beam=None):
    """
    Find the most likely output sequence using Viterbi algorithm.
    Args:
        emissions (`~torch.Tensor`): Emission score are usually the unnormalized decoder output
            ``(batch_size, seq_len, vocab_size)``. We assume batch-first
        masks (`~torch.ByteTensor`): Mask tensor with the same size as targets
    Returns:
        `~torch.LongTensor`: decoded sequence from the CRF model
    """
    return self._viterbi_decode(emissions, masks, beam)