BertTokenizer and encode_plus()
I see that from version 2.4.0 I was able to use `encode_plus()` with `BertTokenizer`

However it seems like that is not the case anymore. 
`AttributeError: 'BertTokenizer' object has no attribute 'encoder_plus'`

Is there a replacement to `encode_plus`?
No it’s still there and still identical. It’s just that you made a typo and typed `encoder_plus` instead of `encode_plus` for what I can tell.

Though we recommand using just the `__call__` method now which is a shortcut wrapping all the encode method in a single API. You can read more details on the additional features that have been added in v3 and v4 in the doc if you want to simplify your preprocessing.<|||||>Here: https://huggingface.co/transformers/preprocessing.html<|||||>> No it’s still there and still identical. It’s just that you made a typo and typed `encoder_plus` instead of `encode_plus` for what I can tell.
> 
> Though we recommand using just the `__call__` method now which is a shortcut wrapping all the encode method in a single API. You can read more details on the additional features that have been added in v3 and v4 in the doc if you want to simplify your preprocessing.

Oops sorry I completely missed that. Thank you!<|||||>long_text = "This is a very very long text. " * 300
tokenizer = BertTokenizer.from_pretrained("bert-large-uncased")
# tokenize without truncation
inputs_no_trunc = tokenizer.encode_plus(long_text, add_special_tokens=False, return_tensors='pt')

I get the following error:

AttributeError: 'BertTokenizer' object has no attribute 'encode_plus'

Is their a substitution for this?