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# Model Card
<!-- Provide a quick summary of what the model is/does. -->
Parrot is a multi-language and multi-modal large language model capable of achieving excellent performance.
For a comprehensive introduction, please refer to [Parrot Paper](https://arxiv.org/abs/2406.02539) and [Parrot GitHub](https://github.com/AIDC-AI/Parrot).
# Model Details
# Performance
# Usage
Below is a code snippet to run Parrot with multimodal inputs. For additional usage instructions, including inference wrapper and Gradio UI, please refer to [Parrot GitHub](https://github.com/AIDC-AI/Parrot).
```markdown
pip install torch==2.1.2 transformers==4.43.2 pillow==10.3.0
```
```python
import torch
from PIL import Image
from transformers import AutoModelForCausalLM
```
# Citation
If you find Parrot useful, please cite the paper
```markdown
@article{sun2024parrot,
title={Parrot: Multilingual Visual Instruction Tuning},
author={Sun, Hai-Long and Zhou, Da-Wei and Li, Yang and Lu, Shiyin and Yi, Chao and Chen, Qing-Guo and Xu, Zhao and Luo, Weihua and Zhang, Kaifu and Zhan, De-Chuan and others},
journal={arXiv preprint arXiv:2406.02539},
year={2024}
}
```
# License
The project is licensed under Apache License Version 2.0 and is restricted to uses that comply with the license agreements of Qwen and Clip.
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