Removing incorrect code sample

README.md

@@ -107,23 +107,7 @@ All audio/text pairs are released on the [pipecat‑ai/datasets](https://hugging
 
  [oai_citation:7‡Daily](https://www.daily.co/blog/smart-turn-v2-faster-inference-and-13-new-languages-for-voice-ai/)
 
-## How to use – quick start
-
-```python
-from transformers import pipeline
-import soundfile as sf
-
-pipe = pipeline(
-    "audio-classification",
-    model="pipecat-ai/smart-turn-v2",
-    feature_extractor="facebook/wav2vec2-base"
-)
-
-speech, sr = sf.read("user_utterance.wav")
-if sr != 16_000:
-    raise ValueError("Resample to 16 kHz")
-
-result = pipe(speech, top_k=None)[0]
-print(f"Completed turn? {result['label']}  Prob: {result['score']:.3f}")
-# label == 'complete' → user has finished speaking
-```
+
+## How to use
+
+Please see the blog post and GitHub repo for more information on using the model, either standalone or with Pipecat.