Update links to supported-models (#3585)

Author: Wovchena

demos/continuous_batching/vlm/README.md

@@ -93,7 +93,7 @@ python export_model.py text_generation --source_model OpenGVLab/InternVL2-2B --w
 
 > **Note:** Change the `--weight-format` to quantize the model to `fp16` or `int8` precision to reduce memory consumption and improve performance.
 
-> **Note:** You can change the model used in the demo out of any topology [tested](https://github.com/openvinotoolkit/openvino.genai/blob/master/SUPPORTED_MODELS.md#visual-language-models) with OpenVINO.
+> **Note:** You can change the model used in the demo out of any topology [tested](https://openvinotoolkit.github.io/openvino.genai/docs/supported-models/#visual-language-models-vlms) with OpenVINO.
 Be aware that QwenVL models executed on GPU might experience execution errors with very high resolution images. In case of such behavior, it is recommended to reduce the parameter `max_pixels` in `preprocessor_config.json`.
 
 

demos/vlm_npu/README.md

@@ -43,7 +43,7 @@ python export_model.py text_generation --source_model microsoft/Phi-3.5-vision-i
 
 Note that by default, NPU sets limitation on the prompt length (which in VLM also include image tokens) to 1024 tokens. You can modify that limit by using `--max_prompt_len` parameter.
 
-> **Note:** You can change the model used in the demo out of any topology [tested](https://github.com/openvinotoolkit/openvino.genai/blob/master/SUPPORTED_MODELS.md#visual-language-models) with OpenVINO.
+> **Note:** You can change the model used in the demo out of any topology [tested](https://openvinotoolkit.github.io/openvino.genai/docs/supported-models/#visual-language-models-vlms) with OpenVINO.
 
 You should have a model folder like below:
 ```