PipelineException：在输入中找不到 mask_token ([MASK])

我收到此错误“PipelineException：在输入中找不到 mask_token ([MASK])” 当我运行这条线时。 fill_mask("汽车。")

我在 Colab 上运行它。 我的代码：

from transformers import BertTokenizer, BertForMaskedLM
from pathlib import Path
from tokenizers import ByteLevelBPETokenizer
from transformers import BertTokenizer, BertForMaskedLM


paths = [str(x) for x in Path(".").glob("**/*.txt")]
print(paths)

bert_tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')

from transformers import BertModel, BertConfig

configuration = BertConfig()
model = BertModel(configuration)
configuration = model.config
print(configuration)

model = BertForMaskedLM.from_pretrained("bert-base-uncased")

from transformers import LineByLineTextDataset
dataset = LineByLineTextDataset(
    tokenizer=bert_tokenizer,
    file_path="./kant.txt",
    block_size=128,
)

from transformers import DataCollatorForLanguageModeling
data_collator = DataCollatorForLanguageModeling(
    tokenizer=bert_tokenizer, mlm=True, mlm_probability=0.15
)

from transformers import Trainer, TrainingArguments

training_args = TrainingArguments(
    output_dir="./KantaiBERT",
    overwrite_output_dir=True,
    num_train_epochs=1,
    per_device_train_batch_size=64,
    save_steps=10_000,
    save_total_limit=2,
    )

trainer = Trainer(
    model=model,
    args=training_args,
    data_collator=data_collator,
    train_dataset=dataset,
)

trainer.train()

from transformers import pipeline

fill_mask = pipeline(
    "fill-mask",
    model=model,
    tokenizer=bert_tokenizer,
    device=0,
)

fill_mask("Auto Car <mask>.").     # This line is giving me the error...

最后一行给了我上面提到的错误。请让我知道我做错了什么或者我必须做什么才能消除此错误。

完整错误：“f”在输入中找不到 mask_token ({self.tokenizer.mask_token})”，”

即使您已经发现了该错误，也建议您将来避免此类错误。而不是打电话

fill_mask("Auto Car <mask>.")

当您使用不同的模型时，可以执行以下操作以更加灵活：

MASK_TOKEN = tokenizer.mask_token

fill_mask("Auto Car {}.".format(MASK_TOKEN))