TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType

[ppdk-data]

Cell In[12], line 7
5 version = "zh-clip-vit-roberta-large-patch14"
6 model = ZhCLIPModel.from_pretrained(version)
----> 7 processor = ZhCLIPProcessor.from_pretrained(version)

File ~/.conda/envs/diffuser_python/lib/python3.9/site-packages/transformers/processing_utils.py:184, in ProcessorMixin.from_pretrained(cls, pretrained_model_name_or_path, **kwargs)
153 @classmethod
154 def from_pretrained(cls, pretrained_model_name_or_path, **kwargs):
155 r"""
156 Instantiate a processor associated with a pretrained model.
157
(...)
182 [~tokenization_utils_base.PreTrainedTokenizer.from_pretrained].
183 """
--> 184 args = cls._get_arguments_from_pretrained(pretrained_model_name_or_path, **kwargs)
185 return cls(*args)

File ~/.conda/envs/diffuser_python/lib/python3.9/site-packages/transformers/processing_utils.py:228, in ProcessorMixin._get_arguments_from_pretrained(cls, pretrained_model_name_or_path, **kwargs)
225 else:
226 attribute_class = getattr(transformers_module, class_name)
--> 228 args.append(attribute_class.from_pretrained(pretrained_model_name_or_path, **kwargs))
229 return args

File ~/.conda/envs/diffuser_python/lib/python3.9/site-packages/transformers/tokenization_utils_base.py:1804, in PreTrainedTokenizerBase.from_pretrained(cls, pretrained_model_name_or_path, *init_inputs, **kwargs)
1801 else:
1802 logger.info(f"loading file {file_path} from cache at {resolved_vocab_files[file_id]}")
-> 1804 return cls._from_pretrained(
1805 resolved_vocab_files,
1806 pretrained_model_name_or_path,
1807 init_configuration,
1808 *init_inputs,
1809 use_auth_token=use_auth_token,
1810 cache_dir=cache_dir,
1811 local_files_only=local_files_only,
1812 _commit_hash=commit_hash,
1813 **kwargs,
1814 )

File ~/.conda/envs/diffuser_python/lib/python3.9/site-packages/transformers/tokenization_utils_base.py:1958, in PreTrainedTokenizerBase._from_pretrained(cls, resolved_vocab_files, pretrained_model_name_or_path, init_configuration, use_auth_token, cache_dir, local_files_only, _commit_hash, *init_inputs, **kwargs)
1956 # Instantiate tokenizer.
1957 try:
-> 1958 tokenizer = cls(*init_inputs, **init_kwargs)
1959 except OSError:
1960 raise OSError(
1961 "Unable to load vocabulary from file. "
1962 "Please check that the provided vocabulary is accessible and not corrupted."
1963 )

File ~/.conda/envs/diffuser_python/lib/python3.9/site-packages/transformers/models/bert/tokenization_bert.py:213, in BertTokenizer.init(self, vocab_file, do_lower_case, do_basic_tokenize, never_split, unk_token, sep_token, pad_token, cls_token, mask_token, tokenize_chinese_chars, strip_accents, **kwargs)
184 def init(
185 self,
186 vocab_file,
(...)
197 **kwargs,
198 ):
199 super().init(
200 do_lower_case=do_lower_case,
201 do_basic_tokenize=do_basic_tokenize,
(...)
210 **kwargs,
211 )
--> 213 if not os.path.isfile(vocab_file):
214 raise ValueError(
215 f"Can't find a vocabulary file at path '{vocab_file}'. To load the vocabulary from a Google pretrained"
216 " model use tokenizer = BertTokenizer.from_pretrained(PRETRAINED_MODEL_NAME)"
217 )
218 self.vocab = load_vocab(vocab_file)

File ~/.conda/envs/diffuser_python/lib/python3.9/genericpath.py:30, in isfile(path)
28 """Test whether a path is a regular file"""
29 try:
---> 30 st = os.stat(path)
31 except (OSError, ValueError):
32 return False

实例化processor的时候报这个错是为啥