TypeError: not a string SO post Your comment is missing the full code to reproduce. However, looking at the code you are usingAlbertTokenizernotAlbertTokenizerFastso you are using the "slow" version of tokenizers which use sentencepiece in that case. Meaning the issue is not meant for this ...
百度试题 题目以下哪个方法不是StringTokenizer的方法? A.hasMoreTokens()B.nextToken()C.append()D.countTokens()相关知识点: 试题来源: 解析 C 反馈 收藏
ifnotisinstance(token,str): raiseTypeError(f"Token{token}is not a string but a{type(token)}.") ifnotspecial_tokensandhasattr(self,"do_lower_case")andself.do_lower_case: Expand All@@ -422,6 +422,9 @@ def _add_tokens(self, new_tokens: Union[List[str], List[AddedToken]], special...
StringTokenizer st2=new StringTokenizer("this!is#a!good#test!","!#"); StringTokenizer st3=new StringTokenizer("ab&cd","&",true); st1.countTokens()的值为___,st2.countTokens()的值为___,st3.countTokens()的值为___.相关知识点: 试题来源: 解析 5 ...
import string from nltk.tokenize import word_tokenize tokens = word_tokenize("I'm a southern salesman.")#['I',"'m",'a','southern','salesman','.']tokens = list(filter(lambda token: token not in string.punctuation, tokens))#['I',"'m",'a','southern','salesman'] ...
); while(tokenize.hasMoreTokens()){ String separated1= tokenize.???; String separated2= tokenize.???; String Val1 = someMethod1(separated1); String Val2 = someMethod2(separated2); } //tokenize next line is not solution java stringtokenizer Share Improve this question Follow edited Feb ...
百度试题 题目StringTokenizer类的hasMoreTokens方法确定在字符串中是否还有语言符号返回。() A. 错误 B. 正确 相关知识点: 试题来源: 解析反馈 收藏
1、StringTokenizer类:根据自定义字符为分界符进行拆分,并将结果进行封装提供对应方法进行遍历取值,StringTokenizer方法不区分标识符、数和带引号的字符串,它们也不识别并跳过注释;该方法用途类似于split方法,只是对结果进行了封装; 2、StringTokenizer的三个构造方法: (1). StringTokenizera (String str):被分割对象str...
text (:obj:`str`, :obj:`List[str]` or :obj:`List[int]` (the latter only for not-fast tokenizers)): The first sequence to be encoded. This can be a string, a list of strings (tokenized string using the ``tokenize`` method) or a list of integers (tokenized string ids using th...
Hi! I am encountering a bizarre issue. I am training a tokenizer, and then when I give it a word to encode, it just outputs a single [UNK] token. When, though, I split the string manually, the tokenizer outputs the correct tokens. from t...