model = GPT2LMHeadModel.from_pretrained(model_name)
model.eval()
+print(f'Using {model_name} ({int(sum(p.numel() for p in model.parameters())/(1e6))}M parameters)')
+
print(
complete(model, tokenizer,
'The object was blue all over, but also green all over, it was a',