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Update README.md

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so this model can be used for skin disease classification
trained on vision transformers apparently
Leveraging ViT in the field of classification for preliminary analysis of dermatological issues
taking steps towards generalisable foundation computer vision models
pre-trained ViT are the way forward for this as cnn struggle to perform sequence transduction and sequence modelling while performed on scale
![download (1).png](https://cdn-uploads.huggingface.co/production/uploads/65039a78da2d88e201fc2bd1/j0ElRR8iZ8Oln7yKavXd5.png)

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  1. README.md +6 -2
README.md CHANGED
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  ---
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  task_categories:
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  - image-classification
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  ---
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  # AutoTrain Dataset for project: vision-transformer
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@@ -50,4 +54,4 @@ This dataset is split into a train and validation split. The split sizes are as
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  | Split name | Num samples |
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  | ------------ | ------------------- |
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  | train | 397 |
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- | valid | 101 |
 
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  ---
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  task_categories:
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  - image-classification
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+ license: apache-2.0
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+ tags:
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+ - biology
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+ size_categories:
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+ - n<1K
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  ---
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  # AutoTrain Dataset for project: vision-transformer
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  | Split name | Num samples |
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  | ------------ | ------------------- |
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  | train | 397 |
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+ | valid | 101 |