| license: apache-2.0 | |
| base_model: Qwen/Qwen2.5-VL-7B-Instruct | |
| library_name: peft | |
| pipeline_tag: video-classification | |
| tags: | |
| - video-classification | |
| - advertising | |
| # ad-video-classifier | |
| A multimodal model that classifies advertising videos by production format. | |
| The model predicts one of three classes: UGC, motion graphics, and live action. | |
| Training and inference code is available at | |
| [madup-inc/ad-video-classifier](https://github.com/madup-inc/ad-video-classifier). | |
| ## Usage | |
| ```bash | |
| git clone https://github.com/madup-inc/ad-video-classifier.git | |
| cd ad-video-classifier | |
| pip install -r requirements.txt | |
| huggingface-cli download MADUP/ad-video-classifier adapter_model.bin --local-dir . | |
| python inference.py sample.mp4 | |
| ``` | |
| ## License | |
| Apache License 2.0. | |
| ## Acknowledgement | |
| This work was supported by the Ministry of Science and ICT (MSIT) and the Korea | |
| Association for ICT Promotion (KAIT) under the Advanced GPU Utilization Support | |
| Program. | |