Video-Text-to-Text
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
text-generation-inference
Instructions to use Video-R1/Video-R1-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Video-R1/Video-R1-7B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Video-R1/Video-R1-7B") model = AutoModelForMultimodalLM.from_pretrained("Video-R1/Video-R1-7B") - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| pipeline_tag: video-text-to-text | |
| library_name: transformers | |
| This repository contains the Video-R1-7B model as presented in [Video-R1: Reinforcing Video Reasoning in MLLMs](https://arxiv.org/pdf/2503.21776). | |
| Code: https://github.com/tulerfeng/Video-R1 |