Update class name in the quick start

README.md

@@ -31,7 +31,7 @@ For more details on the model, please go to the upstream [model card](https://hu
 
 Pure-**Keras 3** conversion of [`UsefulSensors/moonshine-tiny`](https://huggingface.co/UsefulSensors/moonshine-tiny) for [kerasformers](https://github.com/IMvision12/KerasFormers). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
 
-This is an **ASR** checkpoint (`MoonshineSpeechToText`).
+This is an **ASR** checkpoint (`MoonshineConditionalGenerate`).
 
 ## ✨ Quick start
 
@@ -42,10 +42,10 @@ os.environ["KERAS_BACKEND"] = "torch"  # or "jax" / "tensorflow"
 import soundfile as sf
 from kerasformers.models.moonshine import (
     MoonshineProcessor,
-    MoonshineSpeechToText,
+    MoonshineConditionalGenerate,
 )
 
-model = MoonshineSpeechToText.from_weights("kerasformers/moonshine_tiny")
+model = MoonshineConditionalGenerate.from_weights("kerasformers/moonshine_tiny")
 processor = MoonshineProcessor.from_weights("kerasformers/moonshine_tiny")
 
 audio, sr = sf.read("your_audio.wav", dtype="float32")  # 16 kHz mono
@@ -67,7 +67,7 @@ Load any Moonshine variant the same way with `from_weights("kerasformers/<varian
 - Prefer `MoonshineProcessor.from_weights(...)` so feature extraction matches.
 - English-only; pass a list of waveforms to batch.
 - See [Moonshine docs](https://imvision12.github.io/KerasFormers/moonshine/) and [Loading Weights](https://imvision12.github.io/KerasFormers/loading_weights/).
-- Community / upstream safetensors still work via the `hf:` prefix, e.g. `MoonshineSpeechToText.from_weights("hf:UsefulSensors/moonshine-tiny")`.
+- Community / upstream safetensors still work via the `hf:` prefix, e.g. `MoonshineConditionalGenerate.from_weights("hf:UsefulSensors/moonshine-tiny")`.
 
 ## Special Thanks