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Update the beans dataset link in Preprocess #7659

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Jul 1, 2025
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Update the beans dataset link in Preprocess #7659

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2 changes: 1 addition & 1 deletion docs/source/use_dataset.mdx
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Expand Up @@ -154,7 +154,7 @@ Use the [`~Dataset.cast_column`] function and set the `sampling_rate` parameter

The most common preprocessing you'll do with image datasets is _data augmentation_, a process that introduces random variations to an image without changing the meaning of the data. This can mean changing the color properties of an image or randomly cropping an image. You are free to use any data augmentation library you like, and 🤗 Datasets will help you apply your data augmentations to your dataset.

**1**. Start by loading the [Beans](https://huggingface.co/datasets/beans) dataset, the `Image` feature, and the feature extractor corresponding to a pretrained [ViT](https://huggingface.co/google/vit-base-patch16-224-in21k) model:
**1**. Start by loading the [Beans](https://huggingface.co/datasets/AI-Lab-Makerere/beans) dataset, the `Image` feature, and the feature extractor corresponding to a pretrained [ViT](https://huggingface.co/google/vit-base-patch16-224-in21k) model:

```py
>>> from transformers import AutoFeatureExtractor
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