Fix usage code blocks.

README.md

@@ -88,7 +88,7 @@ synthesiser = pipeline("text-to-speech", "suno/bark")
 
 speech = synthesiser("Hello, my dog is cooler than you!", forward_params={"do_sample": True})
 
-scipy.io.wavfile.write("bark_out.wav", rate=speech["sampling_rate"], data=speech["audio"])
+scipy.io.wavfile.write("bark_out.wav", rate=speech["sampling_rate"], data=speech["audio"].squeeze())
 ```
 
 3. Run inference via the Transformers modelling code. You can use the processor + generate code to convert text into a mono 24 kHz speech waveform for more fine-grained control.
@@ -121,7 +121,7 @@ Or save them as a `.wav` file using a third-party library, e.g. `scipy`:
 ```python
 import scipy
 
-sampling_rate = model.config.sample_rate
+sampling_rate = model.generation_config.sample_rate
 scipy.io.wavfile.write("bark_out.wav", rate=sampling_rate, data=speech_values.cpu().numpy().squeeze())
 ```