Merge branch 'huggingface:main' into main

README.md

@@ -3,6 +3,18 @@
 This repo contains the content that's used to create [Hugging Face's Audio Transformers Course](https://huggingface.co/learn/audio-course/). 
 The course teaches you about applying Transformers to various tasks in audio and speech processing.It's completely free and open-source!
 
+## 🌎 Languages and translations
+
+| Language | Source | Authors |
+|:------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| [Bengali](https://huggingface.co/learn/audio-course/bn/chapter0/introduction) | [`chapters/bn`](https://github.com/huggingface/audio-transformers-course/tree/main/chapters/bn) | |
+| [English](https://huggingface.co/learn/audio-course/chapter0/introduction) | [`chapters/en`](https://github.com/huggingface/audio-transformers-course/tree/main/chapters/en) | |
+| [Spanish](https://huggingface.co/learn/audio-course/es/chapter0/introduction) | [`chapters/es`](https://github.com/huggingface/audio-transformers-course/tree/main/chapters/es) | |
+| [French](https://huggingface.co/learn/audio-course/fr/chapter0/introduction) | [`chapters/fr`](https://github.com/huggingface/audio-transformers-course/tree/main/chapters/fr) | |
+| [Korean](https://huggingface.co/learn/audio-course/ko/chapter0/introduction) | [`chapters/ko`](https://github.com/huggingface/audio-transformers-course/tree/main/chapters/ko) | |
+| [Russian](https://huggingface.co/learn/audio-course/ru/chapter0/introduction) | [`chapters/ru`](https://github.com/huggingface/audio-transformers-course/tree/main/chapters/ru) | [@blademoon](https://github.com/blademoon), [@Lightmourne](https://github.com/Lightmourne) |
+| [Turkish](https://huggingface.co/learn/audio-course/tr/chapter0/introduction) | [`chapters/tr`](https://github.com/huggingface/audio-transformers-course/tree/main/chapters/tr) | |
+| [Chinese (simplified)](https://huggingface.co/learn/audio-course/zh-CN/chapter0/introduction) | [`chapters/zh-CN`](https://github.com/huggingface/audio-transformers-course/tree/main/chapters/zh-CN) | |
 
 ### Translating the course into your language
 

chapters/en/chapter4/classification_models.mdx

@@ -66,7 +66,7 @@ classifier = pipeline(
 
 Finally, we can pass a sample to the classification pipeline to make a prediction:
 ```python
-classifier(minds[0]["path"])
+classifier(minds[0]["audio"])
 ```
 **Output:**
 ```