Zero-Shot Object Detection
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
text-generation-inference
Instructions to use IDEA-Research/Rex-Thinker-GRPO-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEA-Research/Rex-Thinker-GRPO-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="IDEA-Research/Rex-Thinker-GRPO-7B")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("IDEA-Research/Rex-Thinker-GRPO-7B") model = AutoModelForMultimodalLM.from_pretrained("IDEA-Research/Rex-Thinker-GRPO-7B") - Notebooks
- Google Colab
- Kaggle
Set library name and correct pipeline tag
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by nielsr HF Staff - opened
README.md
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## Citation 📜
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base_model:
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language:
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- en
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metrics:
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- accuracy
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pipeline_tag: zero-shot-object-detection
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library_name: transformers
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<div align=center>
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<p align="center"><img src="assets/gradio.jpg" width="95%"></p>
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## Citation 📜
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```text
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@misc{jiang2025rexthinkergroundedobjectreferring,
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title={Rex-Thinker: Grounded Object Referring via Chain-of-Thought Reasoning},
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author={Qing Jiang and Xingyu Chen and Zhaoyang Zeng and Junzhi Yu and Lei Zhang},
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year={2025},
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eprint={2506.04034},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2506.04034},
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}
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```
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