在 Huggingface 中使用 Roberta 标记器时，我感到很困惑。
>>> tokenizer = RobertaTokenizer.from_pretrained('roberta-base')
>>> x = tokenizer.tokenize("The tiger is ___ (big) than the dog.")
['The', 'Ġtiger', 'Ġis', 'Ġ___', 'Ġ(', 'big', ')', 'Ġthan', 'Ġthe', 'Ġdog', '.']
>>> x = tokenizer.tokenize("The tiger is ___ ( big ) than the dog.")
['The', 'Ġtiger', 'Ġis', 'Ġ___', 'Ġ(', 'Ġbig', 'Ġ)', 'Ġthan', 'Ġthe', 'Ġdog', '.']
>>> x = tokenizer.encode("The tiger is ___ (big) than the dog.")
[0, 20, 23921, 16, 2165, 36, 8527, 43, 87, 5, 2335, 4, 2]
>>> x = tokenizer.encode("The tiger is ___ ( big ) than the dog.")
[0, 20, 23921, 16, 2165, 36, 380, 4839, 87, 5, 2335, 4, 2]
>>>
问题：(big)并且( big )有不同的标记化结果，这也会导致不同的标记 id。我应该使用哪一个？这是否意味着我应该先对输入进行预标记以进行输入( big )并进行 RobertaTokenization？还是真的不重要？
其次，似乎BertTokenizer没有这样的困惑：
>>> tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
>>> x = tokenizer.tokenize("The tiger is ___ (big) than the dog.")
['the', 'tiger', 'is', '_', '_', '_', '(', 'big', ')', 'than', 'the', 'dog', '.']
>>> x = tokenizer.tokenize("The tiger is ___ ( big ) than the dog.")
['the', 'tiger', 'is', '_', '_', '_', '(', 'big', ')', 'than', 'the', 'dog', '.']
>>>
BertTokenizer使用单词片给我同样的结果。
有什么想法可以帮助我更好地理解 RobertaTokenizer，我知道它正在使用字节对编码？