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1from transformers import pipeline
2
3system_prompt = "You are a speaking turn-ending identifier. Your task is to identify whether the user's speaking turn is complete or not. Respond with `end` if the user's turn is complete, or `continue` if it is not."
4question = "I want to"
5
6generator = pipeline("text-generation", model="None", device="cuda")
7output = generator([{"role": "system", "content": system_prompt}, {"role": "user", "content": question}], max_new_tokens=1, return_full_text=False)[0]
8print(output["generated_text"]) # "end" or "continue"1@misc{vonwerra2022trl,
2 title = {{TRL: Transformer Reinforcement Learning}},
3 author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
4 year = 2020,
5 journal = {GitHub repository},
6 publisher = {GitHub},
7 howpublished = {\url{https://github.com/huggingface/trl}}
8}