I am a bit confused on the different tokens (with and without ## i.e. continuation prefix) in bert-base-chinese.
In [1]: from transformers import AutoTokenizer

In [2]: tokenizer = AutoTokenizer.from_pretrained('bert-base-chinese')

In [3]: tokenizer.encode('恋爱ing', add_special_tokens=False)
Out[3]: [2605, 4263, 10139]

In [4]: tokenizer.save_pretrained('tokenizer')

Out[4]:
('tokenizer/vocab.txt',
 'tokenizer/special_tokens_map.json',
 'tokenizer/added_tokens.json')

In [5]: !grep -n ing tokenizer/vocab.txt
8222:##ing
9108:##ting
9310:booking
9383:king
9427:##ling
9536:##ning
9663:shopping
9741:##king
9756:##ding
10062:ling
10070:ｗedding
10140:ing
...

In [6]: !grep -n 爱 tokenizer/vocab.txt
4264:爱
17321:##爱

Here it shows that 爱 is tokenized into 4263 instead of 17320, indicating that for this Chinese pre-trained model the two character word is split separately; but then why do we still need the ##爱 token in the vocab?