diff --git a/docs/source/en/tasks/audio_classification.mdx b/docs/source/en/tasks/audio_classification.mdx
index 33a469ac5a79cf..99cc3064653fb3 100644
--- a/docs/source/en/tasks/audio_classification.mdx
+++ b/docs/source/en/tasks/audio_classification.mdx
@@ -117,7 +117,7 @@ The [MInDS-14](https://huggingface.co/datasets/PolyAI/minds14) dataset has a sam
 The preprocessing function needs to:
 
 1. Call the `audio` column to load and if necessary resample the audio file.
-2. Check the sampling rate of the audio file matches the sampling rate of the audio data a model was pretrained with. You can find this information on the Wav2Vec2 [model card]((https://huggingface.co/facebook/wav2vec2-base)).
+2. Check the sampling rate of the audio file matches the sampling rate of the audio data a model was pretrained with. You can find this information on the Wav2Vec2 [model card](https://huggingface.co/facebook/wav2vec2-base).
 3. Set a maximum input length so longer inputs are batched without being truncated.
 
 ```py
@@ -189,4 +189,4 @@ At this point, only three steps remain:
 
 For a more in-depth example of how to fine-tune a model for audio classification, take a look at the corresponding [PyTorch notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/audio_classification.ipynb).
 
-</Tip>
\ No newline at end of file
+</Tip>