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, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Video-R1/Video-R1-7B") model = AutoModelForImageTextToText.from_pretrained("Video-R1/Video-R1-7B") - Notebooks
- Google Colab
- Kaggle
metadata
license: apache-2.0
pipeline_tag: video-text-to-text
library_name: transformers
datasets:
- Video-R1/Video-R1-data
language:
- en
metrics:
- accuracy
base_model:
- Qwen/Qwen2.5-VL-7B-Instruct
This repository contains the Video-R1-7B model as presented in Video-R1: Reinforcing Video Reasoning in MLLMs.
For training and inference, please refer to Code: https://github.com/tulerfeng/Video-R1