This repository stores the model for YOLOv9-T, compatible with Kalray's neural network API.
Please see
www.github.com/kalray/kann-models-zoo
for details and proper usage.
@article{wang2024yolov9,
title={{YOLOv9}: Learning What You Want to Learn Using Programmable Gradient Information},
author={Wang, Chien-Yao and Liao, Hong-Yuan Mark},
booktitle={arXiv preprint arXiv:2402.13616},
year={2024}
}
@article{chang2023yolor,
title={{YOLOR}-Based Multi-Task Learning},
author={Chang, Hung-Shuo and Wang, Chien-Yao and Wang, Richard Robert and Chou, Gene and Liao, Hong-Yuan Mark},
journal={arXiv preprint arXiv:2309.16921},
year={2023}
}
Runs of Kalray yolov9t on huggingface.co
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More Information About yolov9t huggingface.co Model
yolov9t huggingface.co is an AI model on huggingface.co that provides yolov9t's model effect (), which can be used instantly with this Kalray yolov9t model. huggingface.co supports a free trial of the yolov9t model, and also provides paid use of the yolov9t. Support call yolov9t model through api, including Node.js, Python, http.
yolov9t huggingface.co is an online trial and call api platform, which integrates yolov9t's modeling effects, including api services, and provides a free online trial of yolov9t, you can try yolov9t online for free by clicking the link below.
yolov9t is an open source model from GitHub that offers a free installation service, and any user can find yolov9t on GitHub to install. At the same time, huggingface.co provides the effect of yolov9t install, users can directly use yolov9t installed effect in huggingface.co for debugging and trial. It also supports api for free installation.