Model name 'aragpt2-base' was not found in tokenizers model name list

[En-J-A]

I tried to use aragpt2-base tokenizer as in

from transformers import GPT2TokenizerFast
from transformers import GPT2LMHeadModel 
gpt2_tokenizer = GPT2TokenizerFast.from_pretrained('aragpt2-base')

bu I got this error

  File "C:\Users\..\miniconda3\envs\torch\lib\site-packages\transformers\tokenization_utils.py", line 390, in from_pretrained
    return cls._from_pretrained(*inputs, **kwargs)
  File "C:\Users\..\miniconda3\envs\torch\lib\site-packages\transformers\tokenization_utils.py", line 486, in _from_pretrained
    raise EnvironmentError(
OSError: Model name 'aragpt2-base' was not found in tokenizers model name list (gpt2, gpt2-medium, gpt2-large, gpt2-xl, distilgpt2). We assumed 'aragpt2-base' was a path, a model identifier, or url to a directory containing vocabulary
files named ['vocab.json', 'merges.txt'] but couldn't find such vocabulary files at this path or url.

How can I solve this issue?

[WissamAntoun]

try aubmindlab/aragpt2-base

[En-J-A]

try aubmindlab/aragpt2-base

The same error!

[WissamAntoun]

try aubmindlab/aragpt2-base

The same error!

Then make sure the transformers library is updated pip install -U transformers

[En-J-A]

try aubmindlab/aragpt2-base

The same error!

Then make sure the transformers library is updated pip install -U transformers

ok. It works.
thank you