Add link to paper and sample usage

README.md

@@ -1,14 +1,15 @@
 ---
-license: apache-2.0
+base_model:
+- OpenGVLab/Mini-InternVL-Chat-2B-V1-5
 language:
-  - en
+- en
+library_name: transformers
+license: apache-2.0
 metrics:
-  - accuracy
+- accuracy
 pipeline_tag: image-text-to-text
-library_name: transformers
-base_model:
-  - OpenGVLab/Mini-InternVL-Chat-2B-V1-5
 ---
+
 # MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning
 
 Repo: [https://github.com/mathllm/MathCoder](https://github.com/mathllm/MathCoder)
@@ -26,8 +27,22 @@ We introduce MathCoder-VL, a series of open-source large multimodal models (LMMs
 
 
 ## Usage
+
 For training and inference code, please refer to [InternVL](https://github.com/OpenGVLab/InternVL).
 
+**Example:** (Illustrative - adapt to your specific needs and refer to InternVL for details)
+
+```python
+from transformers import pipeline
+
+pipe = pipeline("image-text-to-text", model="MathLLMs/MathCoder-VL-2B", device=0) #replace with your preferred model and device
+
+image = "path/to/your/image.png" #replace with your image path
+prompt = "What is the area of the shape in this image?"
+
+result = pipe(image=image, text=prompt)
+print(result) 
+```
 
 ## Motivation