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Enhance model card for VideoTG-R1
Verified signatureThis PR replaces the placeholder model card with detailed information for the VideoTG-R1 model. It includes: - Updating metadata with `pipeline_tag: video-text-to-text`, `library_name: transformers`, `datasets: yeliudev/VideoMind-Dataset`, and relevant tags like `video-temporal-grounding`, `multimodal-llm`, `reinforcement-learning`, and `curriculum-learning`. - A link to the paper ([VideoTG-R1: Boosting Video Temporal Grounding via Curriculum Reinforcement Learning on Reflected Boundary Annotations](https://huggingface.co/papers/2510.23397)). - A link to the GitHub repository (https://github.com/ldong1111/VideoTG-R1). - A descriptive abstract and methodology visualizations. - Comprehensive usage, training, and evaluation instructions with `bash` code snippets directly from the official GitHub README. This update will significantly improve discoverability and usability for researchers interested in Video Temporal Grounding.9526f09
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