Beginner Beginner query:
I’m working my way through to try and use the transformers for classification, and potentially question answering, and sentence forming. Is it possible to use say of the bert models to encode the text for zero-shot classification, and use the same model to interact with responses and formulate the stored data based on interaction. I’m only up to chapter 2 so no doubt (hopefully) it will come up. But I’m looking ahead to optimise so I don’t use more than the necessary models, and encoders/decoders.
edit: as an example cause on re-read it might not be clear.
I have a bot that classifies context in a conversation chain i.e. “we are going to use bootstrap”. From this I think using zero shot and my labels it will classify it. I then would like to interact with Questions i.e. “did you want to store this” followed by creating a sentence to store the data. I’ll need more than one model I think…