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1from transformers import pipeline
2
3question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
4generator = pipeline("text-generation", model="None", device="cuda")
5output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
6print(output["generated_text"])
1@inproceedings{agarwal2024on-policy,
2 title = {{On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes}},
3 author = {Rishabh Agarwal and Nino Vieillard and Yongchao Zhou and Piotr Stanczyk and Sabela Ramos Garea and Matthieu Geist and Olivier Bachem},
4 year = 2024,
5 booktitle = {The Twelfth International Conference on Learning Representations, {ICLR} 2024, Vienna, Austria, May 7-11, 2024},
6 publisher = {OpenReview.net},
7 url = {https://openreview.net/forum?id=3zKtaqxLhW},
8}1@software{vonwerra2020trl,
2 title = {{TRL: Transformers Reinforcement Learning}},
3 author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
4 license = {Apache-2.0},
5 url = {https://github.com/huggingface/trl},
6 year = {2020}
7}