'BertTokenizer' object is not callable

The error message you received, "'BertTokenizer' object is not callable," indicates that you are trying to call a `BertTokenizer` object as if it were a function.

To resolve this issue, make sure you are using the correct syntax to tokenize your text using the `BertTokenizer`. Here's an example of how you can tokenize a sentence using the `BertTokenizer`:

from transformers import BertTokenizer

tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
sentence = "Hello, how are you?"
tokens = tokenizer.tokenize(sentence)

In this example, we first import the `BertTokenizer` class from the `transformers` library. Then, we create an instance of the tokenizer using the `from_pretrained` method, specifying the model we want to use (in this case, "bert-base-uncased"). Finally, we tokenize the sentence by calling the `tokenize` method of the `BertTokenizer` object.

If you are already using this syntax and still encountering the error, please provide more details about your code and the specific line where the error occurs so I can assist you further.