Update README.md

README.md

@@ -29,11 +29,56 @@ The model is compatible with the latest `transformers` library (which can run no
 | **Qwen2.5-VL-7B-Instruct-GPTQ-Int4**                         |   6.5 GB    |     81.48      |   845    |
 
 
-### Note
+#### Note
 
 - Evaluations are performed using [lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval) with default setting. 
 - GPTQ models are computationally more effective (fewer VRAM usage, faster inference speed) than AWQ series in these evaluations.
 
+### Quick Tour
+
+Install the required libraries:
+```
+pip install git+https://github.com/huggingface/transformers accelerate qwen-vl-utils
+pip install gptqmodel tokenicer # optional
+```
+
+Sample code:
+```python
+from transformers import Qwen2_5_VLForConditionalGeneration, AutoTokenizer, AutoProcessor
+from qwen_vl_utils import process_vision_info
+
+model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
+    "hfl/Qwen2.5-VL-7B-Instruct-GPTQ-Int4", 
+    attn_implementation="flash_attention_2",
+    device_map="auto"
+)
+processor = AutoProcessor.from_pretrained("hfl/Qwen2.5-VL-7B-Instruct-GPTQ-Int4")
+
+messages = [{
+    "role": "user",
+    "content": [
+        {"type": "image", "image": "https://raw.githubusercontent.com/ymcui/Chinese-LLaMA-Alpaca-3/refs/heads/main/pics/banner.png"},
+        {"type": "text", "text": "请你描述一下这张图片。"},
+    ],
+}]
+
+text = processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+image_inputs, video_inputs = process_vision_info(messages)
+inputs = processor(
+    text=[text], images=image_inputs, videos=video_inputs,
+    padding=True, return_tensors="pt",
+).to("cuda")
+
+generated_ids = model.generate(**inputs, max_new_tokens=512)
+generated_ids_trimmed = [out_ids[len(in_ids) :] for in_ids, out_ids in zip(inputs.input_ids, generated_ids)]
+output_text = processor.batch_decode(generated_ids_trimmed, skip_special_tokens=True, clean_up_tokenization_spaces=False)
+print(output_text)
+```
+
+Results:
+```
+['这张图片展示了一个标志或图标，包含以下内容：\n\n1. 左侧有一个圆形的图标，里面有一幅插画，描绘了两只羊驼（Alpaca），背景中有树木和一座亭子。\n2. 中间部分用中文写着“中文LLaMA & Alpaca大模型”，意思是“Chinese LLaMA & Alpaca Large Language Models”。\n3. 右侧有一个黑色的数字“3”，旁边有一些电路板的图案。\n\n整体来看，这个标志可能与中文的大型语言模型（LLaMA和Alpaca）有关，可能是一个项目、平台或产品的名称。']
+```
 
 ### Disclaimer
 - **This is NOT an official model by Qwen. Use at your own risk.**