from transformers.modeling_flax_pytorch_utils import load_flax_checkpoint_in_pytorch_model
from transformers import T5Config, T5Model
config = T5Config.from_pretrained("./")
model = T5Model(config)
load_flax_checkpoint_in_pytorch_model(model, "./flax_model.msgpack")
model.save_pretrained("./")

from transformers import AutoTokenizer 
tokenizer = AutoTokenizer.from_pretrained("./")
tokenizer.save_pretrained("./") 
('./tokenizer_config.json',
 './special_tokens_map.json', 
 './vocab.json', 
 './merges.txt',
 './added_tokens.json',
 './tokenizer.json')