"This tokenizer does not make use of special tokens." warning
## ❓ Questions & Help

<!-- A clear and concise description of the question. -->

I just updated to the latest version transformers. Now when I use tokenizer to encode word, it always show the warning "This tokenizer does not make use of special tokens." 

Is there any way to hide that warning? Thank you.
Same here. Is there any way to suppress this warning? I use `run_lm_finetuning.py` to finetune distilgpt2 and it outputs thousands "This tokenizer does not make use of special tokens.". It's so annoying :(<|||||>Here's how to suppress the warnings until this is fixed:

```py
import logging
logging.getLogger('transformers.tokenization_utils').setLevel(logging.ERROR)
```<|||||>> Here's how to suppress the warnings until this is fixed:
> 
> ```python
> import logging
> logging.getLogger('transformers.tokenization_utils').disabled = True
> ```

Thank you!<|||||>Is this fixed? If not, I think it should be open until it's been fixed.<|||||>This has been fixed on the master and in the latest release (2.2.1)<|||||>Hi, I use the latest release but I still have this problem.<|||||>@iedmrc 
I close it because the 'log' method works. I don't know whether it's a bug or not.<|||||>Hi @yeliu918, could you please show us what you obtain when running this script in your environment?

```py
from transformers import GPT2Tokenizer, __version__
print(__version__)

tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
print(tokenizer.encode("What does this output?"))
```<|||||>I am getting warning despite trying everything mentioned above....

```
import torch
from transformers import GPT2LMHeadModel, GPT2Tokenizer, __version__
import logging
tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
print(__version__) 
logging.getLogger('transformers.tokenization_utils').disabled = True
tokens_tensor = torch.tensor([tokenizer.encode("some example sentence")])
greedy_output = model.generate(tokens_tensor, max_length=60, num_beams=16)
```

Version 2.8.0

Setting `pad_token_id` to 50256 (first `eos_token_id`) to generate sequence