Visual Question Answering
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
multimodal
text-generation-inference
Instructions to use TIGER-Lab/VL-Rethinker-72B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TIGER-Lab/VL-Rethinker-72B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="TIGER-Lab/VL-Rethinker-72B")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("TIGER-Lab/VL-Rethinker-72B") model = AutoModelForImageTextToText.from_pretrained("TIGER-Lab/VL-Rethinker-72B") - Notebooks
- Google Colab
- Kaggle
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| [**🚀Project Page**](https://tiger-ai-lab.github.io/VL-Rethinker/) | [**📖Paper**](https://arxiv.org/abs/2504.08837) | [**🔗Github**](https://github.com/TIGER-AI-Lab/VL-Rethinker/) | [**🤗Data** (Coming Soon)]() |
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## Citation
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If you feel this model useful, please give us a free cite:
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| [**🚀Project Page**](https://tiger-ai-lab.github.io/VL-Rethinker/) | [**📖Paper**](https://arxiv.org/abs/2504.08837) | [**🔗Github**](https://github.com/TIGER-AI-Lab/VL-Rethinker/) | [**🤗Data** (Coming Soon)]() |
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## Prompt
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Append the following after the user query:
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```python
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"""Guidelines:
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Please think step by step, and **regularly perform self-questioning, self-verification, self-correction to check your ongoing reasoning**, using connectives such as "Wait a moment", "Wait, does it seem right?", etc. Remember to put your final answer within \\boxed{}."""
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```
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## Citation
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If you feel this model useful, please give us a free cite:
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