Update README.md

README.md

@@ -22,5 +22,7 @@ model = T5ForConditionalGeneration.from_pretrained(
 s = 'Hai, ada yang bisa saya bantu?'
 input_ids = tokenizer.encode(f'terjemah ke Melayu: {s}', return_tensors = 'pt')
 outputs = model.generate(input_ids, max_length = 100)
-print(tokenizer.decode(outputs[0], spaces_between_special_tokens = False, skip_special_tokens = True))
+all_special_ids = [0, 1, 2]
+outputs = [i for i in outputs[0] if i not in all_special_ids]
+print(tokenizer.decode(outputs, spaces_between_special_tokens = False))
 ```