 求教：load BERT 模型报错 
### System Info

OS: Windows-10-10.0.19041-SP0
Python: 3.8.3
PyTorch: 1.12.0+cpu
TensorFlow: 2.6.0
HanLP: 2.1.0-beta.36

### Who can help?

_No response_

### Information

- [ ] The official example scripts
- [X] My own modified scripts

### Tasks

- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)

### Reproduction

I tried the 2 options:

1. recog = hanlp.load('MSRA_NER_BERT_BASE_ZH')
OR
2. recog = hanlp.load(hanlp.pretrained.ner.MSRA_NER_BERT_BASE_ZH)

Error Log:
>>> import hanlp
>>> recognizer = hanlp.load(hanlp.pretrained.ner.MSRA_NER_BERT_BASE_ZH)
2022-07-12 16:32:32.871385: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2022-07-12 16:32:32.871563: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2022-07-12 16:32:44.634072: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found
2022-07-12 16:32:44.634254: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
2022-07-12 16:32:44.654910: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: SZH-C-000XF
2022-07-12 16:32:44.655263: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: SZH-C-000XF
2022-07-12 16:32:51.161833: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
Failed to load https://file.hankcs.com/hanlp/ner/ner_bert_base_msra_20211227_114712.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.
================================ERROR LOG BEGINS================================
OS: Windows-10-10.0.19041-SP0
Python: 3.8.3
PyTorch: 1.12.0+cpu
TensorFlow: 2.6.0
HanLP: 2.1.0-beta.36
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\AAH2SZH\AppData\Roaming\Python\Python38\site-packages\hanlp\__init__.py", line 43, in load
    return load_from_meta_file(save_dir, 'meta.json', verbose=verbose, **kwargs)
  File "C:\Users\AAH2SZH\AppData\Roaming\Python\Python38\site-packages\hanlp\utils\component_util.py", line 175, in load_from_meta_file
    raise e from None
  File "C:\Users\AAH2SZH\AppData\Roaming\Python\Python38\site-packages\hanlp\utils\component_util.py", line 99, in load_from_meta_file
    obj.load(save_dir, verbose=verbose, **kwargs)
  File "C:\Users\AAH2SZH\AppData\Roaming\Python\Python38\site-packages\hanlp\common\keras_component.py", line 214, in load
    self.build(**merge_dict(self.config, training=False, logger=logger, **kwargs, overwrite=True, inplace=True))
  File "C:\Users\AAH2SZH\AppData\Roaming\Python\Python38\site-packages\hanlp\common\keras_component.py", line 224, in build
    self.model = self.build_model(**merge_dict(self.config, training=kwargs.get('training', None),
  File "C:\Users\AAH2SZH\AppData\Roaming\Python\Python38\site-packages\hanlp\components\taggers\transformers\transformer_tagger_tf.py", line 34, in build_model
    model, tokenizer = build_transformer(transformer, max_seq_length, len(self.transform.tag_vocab), tagging=True)
  File "C:\Users\AAH2SZH\AppData\Roaming\Python\Python38\site-packages\hanlp\layers\transformers\loader_tf.py", line 11, in build_transformer
    tokenizer = AutoTokenizer_.from_pretrained(transformer)
  File "C:\Users\AAH2SZH\AppData\Roaming\Python\Python38\site-packages\hanlp\layers\transformers\pt_imports.py", line 68, in from_pretrained
    tokenizer = cls.from_pretrained(get_tokenizer_mirror(transformer), use_fast=use_fast,
  File "C:\Users\AAH2SZH\AppData\Roaming\Python\Python38\site-packages\transformers\models\auto\tokenization_auto.py", line 535, in from_pretrained
    config = AutoConfig.from_pretrained(
  File "C:\Users\AAH2SZH\AppData\Roaming\Python\Python38\site-packages\transformers\models\auto\configuration_auto.py", line 705, in from_pretrained
    config_dict, _ = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
  File "C:\Users\AAH2SZH\AppData\Roaming\Python\Python38\site-packages\transformers\configuration_utils.py", line 553, in get_config_dict
    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
  File "C:\Users\AAH2SZH\AppData\Roaming\Python\Python38\site-packages\transformers\configuration_utils.py", line 641, in _get_config_dict
    raise EnvironmentError(
OSError: Can't load config for 'bert-base-chinese'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'bert-base-chinese' is the correct path to a directory containing a config.json file

### Expected behavior

fix the error
please help guys! thanks so much in advance!<|||||>what is your transformers version?<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) are likely to be ignored.