from transformers import GPT2Tokenizer, GPT2LMHeadModel

tokenizer = GPT2Tokenizer.from_pretrained('minhtoan/gpt2-finetune-vietnamese-news')
model = GPT2LMHeadModel.from_pretrained('minhtoan/gpt2-finetune-vietnamese-news')

text = "Hoa quả và rau thường rẻ hơn khi vào mùa"
input_ids = tokenizer.encode(text, return_tensors='pt')
max_length = 80

sample_outputs = model.generate(input_ids,pad_token_id=tokenizer.eos_token_id,
                                   do_sample=True,
                                   max_length=max_length,
                                   min_length=max_length,
                                   num_return_sequences=3)

for i, sample_output in enumerate(sample_outputs):
    print(">> Generated text {}\n\n{}".format(i+1, tokenizer.decode(sample_output.tolist())))
    print('\n---')