MohamedISSAOUI/ROS2Chat

1---2library_name: transformers3model_name: ROS2Chat4tags:5- generated_from_trainer6- trl7- sft8licence: license9---10 11# Model Card for ROS2Chat12 13This model is a fine-tuned version of [None](https://huggingface.co/None).14It has been trained using [TRL](https://github.com/huggingface/trl).15 16## Quick start17 18```python19from transformers import pipeline20 21question = "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?"22generator = pipeline("text-generation", model="MohamedISSAOUI/ROS2Chat", device="cuda")23output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]24print(output["generated_text"])25```26 27## Training procedure28 29[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/mohamedissaoui2468-ensi/huggingface/runs/560etfpc) 30 31 32This model was trained with SFT.33 34### Framework versions35 36- TRL: 0.23.137- Transformers: 4.56.238- Pytorch: 2.8.0+cu12639- Datasets: 4.0.040- Tokenizers: 0.22.141 42## Citations43 44 45 46Cite TRL as:47    48```bibtex49@misc{vonwerra2022trl,50	title        = {{TRL: Transformer Reinforcement Learning}},51	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},52	year         = 2020,53	journal      = {GitHub repository},54	publisher    = {GitHub},55	howpublished = {\url{https://github.com/huggingface/trl}}56}57```