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@@ -34,7 +34,9 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- More information needed
 
 
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  ## Intended uses & limitations
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  ## Model description
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+ This model was created by importing the dataset of the photos of skin cancer into Google Colab from kaggle here: https://www.kaggle.com/datasets/kmader/skin-cancer-mnist-ham10000 . I then used the image classification tutorial here: https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/image_classification.ipynb
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+ The possible classified diseases are: 'Actinic-keratoses', 'Basal-cell-carcinoma', 'Benign-keratosis-like-lesions', 'Dermatofibroma', 'Melanocytic-nevi', 'Melanoma', 'Vascular-lesions' .
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  ## Intended uses & limitations
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