Create README.md

README.md

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+---
+language:
+- zh
+- en
+base_model:
+- openbmb/MiniCPM-V-4
+pipeline_tag: image-text-to-text
+library_name: transformers
+tags:
+- MiniCPM
+- MiniCPM-V-4
+---
+
+# MiniCPM-V-4
+
+## Convert tools links:
+
+For those who are interested in model conversion, you can try to export axmodel through the original repo : 
+https://huggingface.co/openbmb/MiniCPM-V-4
+
+[How to Convert LLM from Huggingface to axmodel](https://github.com/Jordan-5i/MiniCPM-o/blob/main/ax_convert/readme.md) 
+
+## Support Platform
+
+- AX650
+  - AX650N DEMO Board
+  - [M4N-Dock(爱芯派Pro)](https://wiki.sipeed.com/hardware/zh/maixIV/m4ndock/m4ndock.html)
+  - [M.2 Accelerator card](https://axcl-docs.readthedocs.io/zh-cn/latest/doc_guide_hardware.html)
+
+
+## How to use
+
+Download all files from this repository to the device
+
+```
+root@ax650:~/wangjian/minicpm-v-4# tree -L 1
+.
+├── embed_tokens.pth
+├── minicpm-v-4_axmodel
+├── minicpmv4_tokenizer
+├── resampler.axmodel
+├── run_axmodel.py
+├── show_demo.jpg
+└── siglip.axmodel
+```
+install transformers
+
+```
+pip install transformers==4.51.0
+```
+
+## Inference with AX650 Host on AX650 DEMO Board
+
+run following cmd：
+
+```bash
+python3 run_axmodel.py -i show_demo.jpg -q "What is the landform in the picture?"
+```
+input image：
+![demo.jpg](./show_demo.jpg)
+
+minicpm-v-4 output:
+
+```bash
+question1 = "What is the landform in the picture?"
+
+answer1 = The landform in the picture is a karst topography, characterized by its unique and dramatic appearance with steep limestone cliffs rising from the water' s surface. This type of landscape is commonly found in regions with significant geological activity, such as China's Li River.
+```