readme add usage

README.md

@@ -28,3 +28,42 @@ tags:
 This is the int4 quantized version of [**MiniCPM-o 2.6**](https://modelscope.cn/models/OpenBMB/MiniCPM-o-2_6).   
 Running with int4 version would use lower GPU memory (about 9GB).
 
+### Prepare code and install AutoGPTQ
+
+We are submitting PR to officially support minicpm-o 2.6 inference
+
+```python
+git clone https://github.com/OpenBMB/AutoGPTQ.git && cd AutoGPTQ
+git checkout minicpmo
+
+# install AutoGPTQ
+pip install -vvv --no-build-isolation -e .
+```
+
+### Usage of **MiniCPM-o-2_6-int4**
+
+Change the model initialization part to `AutoGPTQForCausalLM.from_quantized`
+
+```python
+import torch
+from transformers import AutoModel, AutoTokenizer
+from auto_gptq import AutoGPTQForCausalLM
+
+model = AutoGPTQForCausalLM.from_quantized(
+    'openbmb/MiniCPM-o-2_6-int4',
+    torch_dtype=torch.bfloat16,
+    device="cuda:0",
+    trust_remote_code=True,
+    disable_exllama=True,
+    disable_exllamav2=True
+)
+tokenizer = AutoTokenizer.from_pretrained(
+    'openbmb/MiniCPM-o-2_6-int4',
+    trust_remote_code=True
+)
+
+model.init_tts()
+
+```
+
+Usage reference [MiniCPM-o-2_6#usage](https://huggingface.co/openbmb/MiniCPM-o-2_6#usage)