Update README.md

README.md

@@ -27,7 +27,7 @@ pipeline_tag: text-to-speech
       - vctk: 41 hours
       - Private data: 16 hours
    
-  ##🆕 Mamba-based Text Encoder (Experimental Update)
+  ## 🆕 Mamba-based Text Encoder (Experimental Update)
   We introduce an experimental Mamba-based text encoder variant of MeloVC, replacing the original Transformer encoder with a state-space model (Mamba) to improve long-sequence modeling efficiency and inference stability.
   - 🔬 Motivation
   - While Transformer-based encoders perform well, they suffer from:
@@ -39,11 +39,13 @@ pipeline_tag: text-to-speech
     - Better scalability for long and mixed-language text
     - More stable inference on limited GPU memory
   - 📦 Available Mamba Checkpoints
-    Component	File
-   Generator	G_Mamba_30000.pth
-   Discriminator	D_Mamba_30000.pth
-   Duration Predictor	DUR_Mamba_30000.pth
-   Config	config_Mamba.json
+| Component          | File                  |
+| ------------------ | --------------------- |
+| Generator          | `G_Mamba_30000.pth`   |
+| Discriminator      | `D_Mamba_30000.pth`   |
+| Duration Predictor | `DUR_Mamba_30000.pth` |
+| Config             | `config_Mamba.json`   |
+
 
     ⚠️ Note: This variant is experimental. Prosody and expressiveness may differ slightly from the Transformer version.