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="SadiaK/NA", 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: 0.16.0
Transformers: 4.50.0
Pytorch: 2.6.0+cu124
Datasets: 3.4.1
Tokenizers: 0.21.1
Citations
Cite TRL as:
@misc{vonwerra2022trl,
title = {{TRL: Transformer Reinforcement Learning}},
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 Gallouédec},
year = 2020,
journal = {GitHub repository},
publisher = {GitHub},
howpublished = {\url{https://github.com/huggingface/trl}}
}
Runs of SadiaK NA on huggingface.co
0
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs
More Information About NA huggingface.co Model
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NA huggingface.co is an AI model on huggingface.co that provides NA's model effect (), which can be used instantly with this SadiaK NA model. huggingface.co supports a free trial of the NA model, and also provides paid use of the NA. Support call NA model through api, including Node.js, Python, http.
NA huggingface.co is an online trial and call api platform, which integrates NA's modeling effects, including api services, and provides a free online trial of NA, you can try NA online for free by clicking the link below.
NA is an open source model from GitHub that offers a free installation service, and any user can find NA on GitHub to install. At the same time, huggingface.co provides the effect of NA install, users can directly use NA installed effect in huggingface.co for debugging and trial. It also supports api for free installation.