我试着从google colab的网站上执行simpletransformers的例子。
范例：

from simpletransformers.classification import ClassificationModel, ClassificationArgs
import pandas as pd
import logging

logging.basicConfig(level=logging.INFO)
transformers_logger = logging.getLogger("transformers")
transformers_logger.setLevel(logging.WARNING)

# Preparing train data
train_data = [
    ["Aragorn was the heir of Isildur", 1],
    ["Frodo was the heir of Isildur", 0],
]
train_df = pd.DataFrame(train_data)
train_df.columns = ["text", "labels"]

# Preparing eval data
eval_data = [
    ["Theoden was the king of Rohan", 1],
    ["Merry was the king of Rohan", 0],
]
eval_df = pd.DataFrame(eval_data)
eval_df.columns = ["text", "labels"]

# Optional model configuration
model_args = ClassificationArgs(num_train_epochs=1)

# Create a ClassificationModel
model = ClassificationModel(
    "roberta", "roberta-base", args=model_args
)

# Train the model
model.train_model(train_df)

# Evaluate the model
result, model_outputs, wrong_predictions = model.eval_model(eval_df)

# Make predictions with the model
predictions, raw_outputs = model.predict(["Sam was a Wizard"])

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但它给了我以下错误：
版本恩怨：此模块的正常运行需要标记器==0.9.4，但发现标记器==0.10.0。如果你使用的是git master，可以尝试：pip install transformers -U或pip install -e '.[dev]'
我试过!pip install transformers -U，甚至!pip install tokenizers==0.9.4，但一直给出相同的错误。我以前执行过这段代码，它工作得很有趣，但现在它给出了上述错误。