I am trying to use Huggingface generate() function for sequence generation task. My model uses encoder-decoder architecture, where I can't really do prompting. But what I can do is forcing the model to start generating tokens right after the prompt. The output should contain the completed-text. Basically, I want to provide a context & a prompt to a decoder. Anyone knows how can I achieve this ?
How to constraint decode using a prompt in Huggingface (encoder-decoder model)?
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