Rename inference config to config.yaml

README.md

@@ -13,7 +13,7 @@ The model combines a frozen music self-supervised encoder with an acoustic encod
 | File | Description |
 | --- | --- |
 | `model.pt` | Stage II MSVAE reconstruction weights. The checkpoint contains a `model_state_dict`; it does not bundle the pretrained MuQ encoder. |
-| `config.yml` | Inference settings: 24 kHz encoder input, 48 kHz stereo output, and model dimensions. |
+| `config.yaml` | Inference settings: 24 kHz encoder input, 48 kHz stereo output, and model dimensions. |
 | `bigvgan_v2_48khz_25hz_base_vae64.json` | Decoder configuration, also included in the companion code repository. |
 
 The Stage I 24 kHz-to-24 kHz checkpoint is **not** included here. The `model.pt` file is approximately 721 MiB.
@@ -40,7 +40,7 @@ CKPT_PATH=/absolute/path/to/model.pt \
 bash scripts/infer.sh /absolute/path/to/input.wav ./reconstructions 0 --latent-mode mean
 ```
 
-The default inference configuration in the code repository, `src/config/svae/example_new.yml`, has the same model settings as `config.yml` here. Its `DAC.bigvgan_conf` path is resolved relative to the code repository root, where the same decoder JSON is provided.
+The default inference configuration in the code repository, `src/config/svae/example_new.yml`, has the same model settings as `config.yaml` here. Its `DAC.bigvgan_conf` path is resolved relative to the code repository root, where the same decoder JSON is provided.
 
 ## Intended use and limitations