Traceback (most recent call last):


 "weibo.py", line 635, in get_one_page

self.print_weibo(wb)


 "weibo.py", line 556, in print_weibo

print('-' * 120)
OSError: [WinError 87] 参数错误。

Traceback (most recent call last):


 "hg_download.py", line 30, in <module>

tokenizer = AutoTokenizer.from_pretrained("lonePatient/albert_chinese_small")


 "/usr/local/lib/python3.8/site-packages/transformers/tokenization_auto.py", line 217, in from_pretrained

return tokenizer_class_py.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs)


 "/usr/local/lib/python3.8/site-packages/transformers/tokenization_utils_base.py", line 1140, in from_pretrained

return cls._from_pretrained(*inputs, **kwargs)


 "/usr/local/lib/python3.8/site-packages/transformers/tokenization_utils_base.py", line 1239, in _from_pretrained

raise EnvironmentError(
OSError: Model name 'lonePatient/albert_chinese_small' was not found in tokenizers model name list (albert-base-v1, albert-large-v1, albert-xlarge-v1, albert-xxlarge-v1, albert-base-v2, albert-large-v2, albert-xlarge-v2, albert-xxlarge-v2). We assumed 'lonePatient/albert_chinese_small' was a path, a model identifier, or url to a directory containing vocabulary files named ['spiece.model'] but couldn't find such vocabulary files at this path or url.
