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This is a chinese Bert model specific for question answering

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This seems to return embedding for input question and answer. How can we pass a random question and generate an answer?

![2019-01-17 18 13 06](https://user-images.githubusercontent.com/33299522/51311325-a141e900-1a83-11e9-9488-23c427f7ddf7.png) Could you explain why you add self.vocab_size between question id and answer id?

thanks for sharing: in the readme you say "Data: 200m chinese internet question answering pairs. Vocab: 52777, jieba CWS enhanced with forward maximum matching." so you train process is just...