update docs + cleanup

Author: Manalelaidouni

docs/source/en/model_doc/xcodec.md

@@ -59,16 +59,27 @@ audio_sample = dummy_dataset[-1]["audio"]["array"]
 inputs = feature_extractor(raw_audio=audio_sample, sampling_rate=feature_extractor.sampling_rate, return_tensors="pt")
 
 encoder_outputs = model.encode(inputs["input_values"])
-audio_codes = encoder_outputs.audio_codes
-decoder_outputs = model.decode(audio_codes)
+decoder_outputs = model.decode(encoder_outputs.audio_codes)
 audio_values = decoder_outputs.audio_values
 
 # or the equivalent with a forward pass
-outputs = model(inputs["input_values"])
-audio_codes = outputs.audio_codes
-audio_values = outputs.audio_values
+audio_values = model(inputs["input_values"]).audio_values
+
+```
+To listen to the original and reconstructed audio, run the snippet below and then open the generated `original.wav` and `reconstruction.wav` files in your music player to compare.
+
+```python
+import soundfile as sf
+
+original = audio_sample
+reconstruction = audio_values[0].cpu().detach().numpy()
+sampling_rate = feature_extractor.sampling_rate
+
+sf.write("original.wav", original, sampling_rate)
+sf.write("reconstruction.wav", reconstruction.T, sampling_rate)
 ```
 
+
 ## XcodecConfig
 
 [[autodoc]] XcodecConfig

src/transformers/models/xcodec/configuration_xcodec.py

@@ -179,10 +179,6 @@ def __init__(
     def frame_rate(self) -> int:
         return math.ceil(self.sample_rate / np.prod(self.acoustic_model_config.upsampling_ratios))
 
-    @property
-    def bits_per_codebook(self) -> int:
-        return int(math.log2(self.codebook_size))
-
     @property
     def hop_length(self) -> int:
         return int(np.prod(self.acoustic_model_config.downsampling_ratios))