如何构建一个虚拟模型

from transformers BertConfig, BertForMaskedLM, BertTokenizer, TFBertForMaskedLM

SMALL_MODEL_IDENTIFIER = "julien-c/bert-xsmall-dummy"
DIRNAME = "./bert-xsmall-dummy"

config = BertConfig(10, 20, 1, 1, 40)

model = BertForMaskedLM(config)
model.save_pretrained(DIRNAME)

tf_model = TFBertForMaskedLM.from_pretrained(DIRNAME, from_pt=True)
tf_model.save_pretrained(DIRNAME)

# Slightly different for tokenizer.
# tokenizer = BertTokenizer.from_pretrained(DIRNAME)
# tokenizer.save_pretrained()