use case · multi-model
A generate-then-judge loop with two models on your device. GPT-2 continues your prompt; then a DistilBERT sentiment model reads the result and scores its mood. Generate a few times and watch how sampling swings the tone — some completions come out cheerful, others bleak.
mood of the generated text
This is a tiny version of a real pattern: generate content, then run a second model to gate or route it by tone, safety, or topic — all locally, no round-trips. Because GPT-2 samples, re-running the same prompt can flip the verdict.