hi @Adel
You could save your custom tokenizer using the save_pretrained
method and then load it again using  from_pretrained method. So for classification fine-tuning you could just use the custom tokenizer. And if you are using the official transformer examples script then all you need to do is, pass the tokenizer using the --tokenizer_name_or_path argument.