Exception when using some T5 model

When I was trying out some other T5 models and those models used the T5Tokenizer
for eg. ct2-transformers-converter --model Rostlab/prot_t5_xl_uniref50 --output_dir ./prot-t5-ct2/

There is an Exception: You're trying to run a Unigram model but you're file was trained with a different algorithm.

I noticed because in the TransformersConverter class, tokenizer_class = transformers. AutoTokenizer,
However, some models must use the T5Tokenizer

My solution:
change this code :

tokenizer_class = transformers.AutoTokenizer

to

if self._model_name_or_path == 'Rostlab/prot_t5_xl_uniref50':
    tokenizer_class = transformers.T5Tokenizer
else:
    tokenizer_class = transformers.AutoTokenizer

python 3.9.6
windows10

Start in python/ctranslate2/converters/transformers.py at the TransformersConverter tokenizer selection described in the issue. Reproduce the conversion command for Rostlab/prot_t5_xl_uniref50 and inspect how the tokenizer is loaded. Done means the affected T5 model converts without the reported Unigram exception, while existing model conversion behavior remains intact.