update readme

README.md

@@ -1,3 +1,37 @@
----
-license: apache-2.0
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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
+![](https://github.com/AIDC-AI/Parrot/images/teaser.png)
+
+# Performance
+![](https://github.com/AIDC-AI/Parrot/images/teaser.png)
+
+# 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.