flax_to_torch.py

from transformers import GPT2LMHeadModel, AutoTokenizer

model = GPT2LMHeadModel.from_pretrained("./", from_flax=True)
model.save_pretrained("./")

tokenizer = AutoTokenizer.from_pretrained("./")
tokenizer.save_pretrained("./")