Stop sequence for few-shot learning with GPT-J on HF API
I am trying to find a a way to declare a stop sequence and show the model a few examples of what I want to generate, i.e.:prompt_tweet = “”"key: markettweet: take feedback from nature and markets, not from peoplekey: childrentweet: Maybe we die, so we can come back as children.key: hugging facetweet:“”"(Example taken from few-shot learning guide for GPT Neo)The problem is that I cannot find any indication to such function in the documentation, but I know that is possible to implement that, there are some websites available that generate text with GPT J few shot learning.Any help?Thanks,KD