This model is a fine-tuned version of
None
.
It has been trained using
TRL
.
Quick start
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="Ba2han/experimental2", 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: 0.24.0
Transformers: 5.5.0
Pytorch: 2.11.0+cu130
Datasets: 4.3.0
Tokenizers: 0.22.2
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 Gallou{\'e}dec},
year = 2020,
journal = {GitHub repository},
publisher = {GitHub},
howpublished = {\url{https://github.com/huggingface/trl}}
}
Runs of Ba2han experimental2 on huggingface.co
1.8K
Total runs
0
24-hour runs
7
3-day runs
310
7-day runs
310
30-day runs
More Information About experimental2 huggingface.co Model
experimental2 huggingface.co
experimental2 huggingface.co is an AI model on huggingface.co that provides experimental2's model effect (), which can be used instantly with this Ba2han experimental2 model. huggingface.co supports a free trial of the experimental2 model, and also provides paid use of the experimental2. Support call experimental2 model through api, including Node.js, Python, http.
experimental2 huggingface.co is an online trial and call api platform, which integrates experimental2's modeling effects, including api services, and provides a free online trial of experimental2, you can try experimental2 online for free by clicking the link below.
Ba2han experimental2 online free url in huggingface.co:
experimental2 is an open source model from GitHub that offers a free installation service, and any user can find experimental2 on GitHub to install. At the same time, huggingface.co provides the effect of experimental2 install, users can directly use experimental2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.