When I runing the example occurred error

[lianggx]

Describe the bug
Failed to load https://file.hankcs.com/hanlp/dep/ctb9_dep_electra_small_20220216_100306.zip
If the problem still persists, please submit an issue to https://github.com/hankcs/HanLP/issues
When reporting an issue, make sure to paste the FULL ERROR LOG below.

import hanlp
HanLP = hanlp.pipeline() \
    .append(hanlp.utils.rules.split_sentence, output_key='sentences') \
    .append(hanlp.load('FINE_ELECTRA_SMALL_ZH'), output_key='tok') \
    .append(hanlp.load('CTB9_POS_ELECTRA_SMALL'), output_key='pos') \
    .append(hanlp.load('MSRA_NER_ELECTRA_SMALL_ZH'), output_key='ner', input_key='tok') \
    .append(hanlp.load('CTB9_DEP_ELECTRA_SMALL', conll=0), output_key='dep', input_key='tok')\
    .append(hanlp.load('CTB9_CON_ELECTRA_SMALL'), output_key='con', input_key='tok')
text = HanLP('2021年HanLPv2.1为生产环境带来次世代最先进的多语种NLP技术。阿婆主来到北京立方庭参观自然语义科技公司。')
print(text)

Describe the current behavior
When I runing the example

Expected behavior
The ternminal had output variable 'text' content.

System information
-- OS: Windows-10-10.0.22621-SP0
-- Python: 3.10.4
-- PyTorch: 2.1.2+cpu
-- HanLP: 2.1.0-beta.54

Other info / logs
================================ERROR LOG BEGINS================================
OS: Windows-10-10.0.22621-SP0
Python: 3.10.4
PyTorch: 2.1.2+cpu
HanLP: 2.1.0-beta.54
Traceback (most recent call last):
File "C:\TestProject\python\hanlptest\main.py", line 17, in
.append(hanlp.load('CTB9_DEP_ELECTRA_SMALL', conll=0), output_key='dep', input_key='tok')
File "C:\Users\jsyyb\AppData\Local\Programs\Python\Python310\lib\site-packages\hanlp_init_.py", line 43, in load
return load_from_meta_file(save_dir, 'meta.json', verbose=verbose, **kwargs)
File "C:\Users\jsyyb\AppData\Local\Programs\Python\Python310\lib\site-packages\hanlp\utils\component_util.py", line 186, in load_from_meta_file
raise e from None
File "C:\Users\jsyyb\AppData\Local\Programs\Python\Python310\lib\site-packages\hanlp\utils\component_util.py", line 106, in load_from_meta_file
obj.load(save_dir, verbose=verbose, **kwargs)
File "C:\Users\jsyyb\AppData\Local\Programs\Python\Python310\lib\site-packages\hanlp\common\torch_component.py", line 173, in load
self.load_config(save_dir, **kwargs)
File "C:\Users\jsyyb\AppData\Local\Programs\Python\Python310\lib\site-packages\hanlp\common\torch_component.py", line 126, in load_config
self.on_config_ready(**self.config, save_dir=save_dir)
File "C:\Users\jsyyb\AppData\Local\Programs\Python\Python310\lib\site-packages\hanlp\components\parsers\biaffine\biaffine_dep.py", line 562, in on_config_ready
self.build_transformer_tokenizer() # We have to build tokenizer before building the dataloader and model
File "C:\Users\jsyyb\AppData\Local\Programs\Python\Python310\lib\site-packages\hanlp\components\parsers\biaffine\biaffine_dep.py", line 285, in build_transformer_tokenizer
transformer_tokenizer: PreTrainedTokenizer = AutoTokenizer.from_pretrained(transformer, use_fast=True)
File "C:\Users\jsyyb\AppData\Local\Programs\Python\Python310\lib\site-packages\transformers\models\auto\tokenization_auto.py", line 752, in from_pretrained
config = AutoConfig.from_pretrained(
File "C:\Users\jsyyb\AppData\Local\Programs\Python\Python310\lib\site-packages\transformers\models\auto\configuration_auto.py", line 1082, in from_pretrained
config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
File "C:\Users\jsyyb\AppData\Local\Programs\Python\Python310\lib\site-packages\transformers\configuration_utils.py", line 644, in get_config_dict
config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
File "C:\Users\jsyyb\AppData\Local\Programs\Python\Python310\lib\site-packages\transformers\configuration_utils.py", line 699, in _get_config_dict
resolved_config_file = cached_file(
File "C:\Users\jsyyb\AppData\Local\Programs\Python\Python310\lib\site-packages\transformers\utils\hub.py", line 429, in cached_file
raise EnvironmentError(
OSError: We couldn't connect to 'https://huggingface.co' to load this file, couldn't find it in the cached files and it looks like hfl/chinese-electra-180g-small-discriminator is not the path to a directory containing a file named config.json.
Checkout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/transformers/installation#offline-mode'.
=================================ERROR LOG ENDS=================================

Code to reproduce the issue
Provide a reproducible test case that is the bare minimum necessary to generate the problem.

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[hankcs]

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