from transformers import pipeline
question = "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?"
generator = pipeline("text-generation", model="SaketR1/uncertainty-sft-correct-ambiguous-mixed-clear", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
Training procedure
This model was trained with SFT.
Framework versions
TRL: 1.6.0
Transformers: 5.13.0.dev0
Pytorch: 2.11.0+cu128
Datasets: 5.0.0
Tokenizers: 0.22.2
Citations
Cite TRL as:
@software{vonwerra2020trl,
title = {{TRL: Transformers Reinforcement Learning}},
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},
license = {Apache-2.0},
url = {https://github.com/huggingface/trl},
year = {2020}
}
Runs of SaketR1 uncertainty-sft-correct-ambiguous-mixed-clear on huggingface.co
131
Total runs
0
24-hour runs
4
3-day runs
-72
7-day runs
-563
30-day runs
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