Merge branch 'main' of https://github.com/tanersekmen/audio-transform…

…ers-course
huggingface · Sep 26, 2023 · a137da0 · a137da0
2 parents b921b18 + af8d879
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diff --git a/chapters/en/chapter4/classification_models.mdx b/chapters/en/chapter4/classification_models.mdx
@@ -131,7 +131,7 @@ checkpoint fine-tuned on the Speech Commands dataset, under the namespace [`"MIT
 classifier = pipeline(
  "audio-classification", model="MIT/ast-finetuned-speech-commands-v2"
 )
-classifier(sample["audio"])
+classifier(sample["audio"].copy())
 ```
 **Output:**
 ```
@@ -147,7 +147,6 @@ and verify this is correct:
 ```
 from IPython.display import Audio
 
-classifier(sample["audio"].copy())
 Audio(sample["audio"]["array"], rate=sample["audio"]["sampling_rate"])
 ```
 

diff --git a/chapters/fr/chapter4/classification_models.mdx b/chapters/fr/chapter4/classification_models.mdx
@@ -87,7 +87,7 @@ Nous allons charger un *checkpoint* d’un [*transformer* d’audio sous la form
 classifier = pipeline(
  "audio-classification", model="MIT/ast-finetuned-speech-commands-v2"
 )
-classifier(sample["audio"])
+classifier(sample["audio"].copy())
 ``` 
 
 **Sortie :**

diff --git a/chapters/ru/chapter4/classification_models.mdx b/chapters/ru/chapter4/classification_models.mdx
@@ -129,7 +129,7 @@ sample = next(iter(speech_commands))
 classifier = pipeline(
  "audio-classification", model="MIT/ast-finetuned-speech-commands-v2"
 )
-classifier(sample["audio"])
+classifier(sample["audio"].copy())
 ```
 **Output:**
 ```
@@ -144,7 +144,6 @@ classifier(sample["audio"])
 ```
 from IPython.display import Audio
 
-classifier(sample["audio"].copy())
 Audio(sample["audio"]["array"], rate=sample["audio"]["sampling_rate"])
 ```