model_name = 'logicreasoning/LogiT5'
tokenize = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
device = 'cuda:0' if torch.cuda.is_available() else 'cpu'
input_text = '' #your input text here
input = tokenize(input, return_tensors='pt', padding=True).to(device)
model = model.to(device)
output = model.generate(*input, max_length=1024)
prediction = tokenize.decode(output[0],skip_special_tokens=True)