Update README.md

README.md

@@ -11,7 +11,7 @@ tags:
 FlashSR is a 2MB audio super-resolution model based on the HierSpeech++'s upsampler architecture. It upscales 16kHz audio to 48kHz at speeds ranging from 200x to 400x real-time.
 
 ### Details
-* **Model Size:** 2MB
+* **Model Size:** 2MB for pytorch version, 500KB for onnx version
 * **Input Rate:** 16kHz
 * **Output Rate:** 48kHz
 * **Inference Speed:** 200x - 400x real-time depending on gpu and dtype
@@ -25,13 +25,13 @@ FlashSR is designed for high-speed frequency reconstruction. It offers a signifi
 
 | Model | Speed | Size |
 | :--- | :--- | :--- |
-| **FlashSR** | **200x - 400x realtime** | **2MB** |
+| **FlashSR** | **200x - 400x realtime** | **2MB/500KB** |
 | Resemble-Enhance | < 20x realtime | ~700MB+ |
 | ClearerVoice | < 20x realtime | ~200MB+ |
 
 ### Usage
-Usage instructions and source code are available on GitHub:
+Usage instructions for onnx/pytorch and source code are available on GitHub:
 https://github.com/ysharma3501/FlashSR
 
 ### Credits
-Thanks to the authors of **HierSpeech++** as this was based on it's 48khz upsampler.
+Thanks to the authors of **HierSpeech++** as this was based on it's 48khz upsampler and [Xenova](https://github.com/xenova/) for onnx code.