I am looking to do some tests with cross encoder models like MS Marco. After reading up on the python code used, I realized that all examples are based on being able to tokenize multiple sentences into a single input. As it stands now it seems that only a single input is possible for text classification models. Is this correct or have I missed something?
I am looking to do some tests with cross encoder models like MS Marco. After reading up on the python code used, I realized that all examples are based on being able to tokenize multiple sentences into a single input. As it stands now it seems that only a single input is possible for text classification models. Is this correct or have I missed something?