I have feature vectors created by BERT-as-a-Service (uncased large) (which is a tensorflow-based code) for 1000 short text each of which has one of 1 to 10 labels. How can I predict the labels using my own 1000 points dataset and feature vectors? Do you have a similar feature-vector based code you can point me to? Does it matter if these feature vectors are created by tensorflow?