How to handle Tokenized text content which is given in number?
Well, in general case, machines do not understand the text, but they understand the numbers. Thus, we always tokenize the text followed by converting them to some form of numbers. We build a vocabulary of words from the given document, where each word can be assumed as a number corresponding to its index in the vocabulary. Further, this number is converted to one-hot vector representations.
Since, you already have sequence of numbers instead of words, you can make an assumption that you can convert them directly to it's one-hot vectors. Or in a advanced way, you can use a embedding layer to learn the embeddings (especially if you are using the neural networks.)