Update README.md

README.md

@@ -8,19 +8,21 @@ You need to slightly modify this pipeline to support image as input (see COLAB e
 Currently, [AI Edge Torch](https://github.com/google-ai-edge/ai-edge-torch/tree/main/ai_edge_torch/generative/examples) vlms not supported
 on [MediaPipe LLM Inference API](https://ai.google.dev/edge/mediapipe/solutions/genai/llm_inference),
 for example [qwen_vl model](https://github.com/google-ai-edge/ai-edge-torch/tree/main/ai_edge_torch/generative/examples/qwen_vl),  
-that was used as reference to write SmolVLM-256M-Instruct convertation scripts (coming soon).
+that was used as reference to write SmolVLM-256M-Instruct convertation scripts.
 
 
 ## Use the models
 
 ### Colab
 
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/#fileId=https://huggingface.co/litert-community/SmolVLM-256M-Instruct/blob/main/smalvlm_notebook.ipynb
+)
 
 
 
 ## Details
 
-The model was converted with:
+The model was converted with custom script (coming soon):
 
 ```shell
 python convert_to_tflite.py --quantize="dynamic_int8"\