Update README.md

README.md

@@ -2,12 +2,3 @@
 license: apache-2.0
 ---
 
-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)