Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词、抽取式文本摘要等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of spee
The tokenizer class you load from this checkpoint is not the same type as the class this function is called from. It may result in unexpected tokenization.
The tokenizer class you load from this checkpoint is 'BertTokenizer'.
The class this function is called from is 'AlbertTokenizer'.
Traceback (most recent call last):
File "/home/efsz/localCode/Pytorch-NLU/test/tc/tet_tc_base_multi_label.py", line 73, in
lc.process()
File "/home/efsz/localCode/Pytorch-NLU/pytorch_nlu/pytorch_textclassification/tcRun.py", line 32, in process
self.corpus = Corpus(self.config, self.logger)
File "/home/efsz/localCode/Pytorch-NLU/pytorch_nlu/pytorch_textclassification/tcData.py", line 25, in init
self.tokenizer = self.load_tokenizer(self.config)
File "/home/efsz/localCode/Pytorch-NLU/pytorch_nlu/pytorch_textclassification/tcData.py", line 206, in load_tokenizer
tokenizer = PRETRAINED_MODEL_CLASSES[config.model_type][1].from_pretrained(config.pretrained_model_name_or_path)
File "/home/efsz/anaconda3/envs/nlu/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1854, in from_pretrained
return cls._from_pretrained(
File "/home/efsz/anaconda3/envs/nlu/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 2017, in _from_pretrained
tokenizer = cls(*init_inputs, **init_kwargs)
File "/home/efsz/anaconda3/envs/nlu/lib/python3.10/site-packages/transformers/models/albert/tokenization_albert.py", line 183, in init
self.sp_model.Load(vocab_file)
File "/home/efsz/anaconda3/envs/nlu/lib/python3.10/site-packages/sentencepiece/init.py", line 905, in Load
return self.LoadFromFile(model_file)
File "/home/efsz/anaconda3/envs/nlu/lib/python3.10/site-packages/sentencepiece/init.py", line 310, in LoadFromFile
return _sentencepiece.SentencePieceProcessor_LoadFromFile(self, arg)
TypeError: not a string
The tokenizer class you load from this checkpoint is not the same type as the class this function is called from. It may result in unexpected tokenization. The tokenizer class you load from this checkpoint is 'BertTokenizer'. The class this function is called from is 'AlbertTokenizer'. Traceback (most recent call last): File "/home/efsz/localCode/Pytorch-NLU/test/tc/tet_tc_base_multi_label.py", line 73, in
lc.process()
File "/home/efsz/localCode/Pytorch-NLU/pytorch_nlu/pytorch_textclassification/tcRun.py", line 32, in process
self.corpus = Corpus(self.config, self.logger)
File "/home/efsz/localCode/Pytorch-NLU/pytorch_nlu/pytorch_textclassification/tcData.py", line 25, in init
self.tokenizer = self.load_tokenizer(self.config)
File "/home/efsz/localCode/Pytorch-NLU/pytorch_nlu/pytorch_textclassification/tcData.py", line 206, in load_tokenizer
tokenizer = PRETRAINED_MODEL_CLASSES[config.model_type][1].from_pretrained(config.pretrained_model_name_or_path)
File "/home/efsz/anaconda3/envs/nlu/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1854, in from_pretrained
return cls._from_pretrained(
File "/home/efsz/anaconda3/envs/nlu/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 2017, in _from_pretrained
tokenizer = cls(*init_inputs, **init_kwargs)
File "/home/efsz/anaconda3/envs/nlu/lib/python3.10/site-packages/transformers/models/albert/tokenization_albert.py", line 183, in init
self.sp_model.Load(vocab_file)
File "/home/efsz/anaconda3/envs/nlu/lib/python3.10/site-packages/sentencepiece/init.py", line 905, in Load
return self.LoadFromFile(model_file)
File "/home/efsz/anaconda3/envs/nlu/lib/python3.10/site-packages/sentencepiece/init.py", line 310, in LoadFromFile
return _sentencepiece.SentencePieceProcessor_LoadFromFile(self, arg)
TypeError: not a string
其他模型好像没问题，但是albert的tokenizer加载会报这个错