OSError: Model name 'lonePatient/albert_chinese_small' was not found in tokenizers model
my code:

from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("lonePatient/albert_chinese_small")
model = AutoModel.from_pretrained("lonePatient/albert_chinese_small")
model.save_pretrained("lonePatient+albert_chinese_small")


+++++++++++

Downloading: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 633/633 [00:00<00:00, 113kB/s]
Traceback (most recent call last):
  File "hg_download.py", line 30, in <module>
    tokenizer = AutoTokenizer.from_pretrained("lonePatient/albert_chinese_small")
  File "/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)
  File "/usr/local/lib/python3.8/site-packages/transformers/tokenization_utils_base.py", line 1140, in from_pretrained
    return cls._from_pretrained(*inputs, **kwargs)
  File "/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.
~/ub16_prj %
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