I have a trained classification model that I want to test on unseen data. I have a csv file containing the texts I want it to predict labels for. I have tried many commands to try and do this in one go (using learn.predict would be much too slow) but am always presented with errors. I have tried using databunch to format the data appropriately but this commonly gives me errors as well (there is no labels column as this is what i want the model to predict)
What is the easiest way to get an NLP classification model to predict on a set of unseen data?
Thanks for you help!