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@@ -12,6 +12,7 @@ SkinSense is a machine learning model for diagnosing skin diseases based on skin
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  The SkinSense model is designed to assist medical professionals in diagnosing skin diseases by analyzing images of skin lesions. It was trained on a large dataset of skin lesion images with corresponding labels for diagnosis. The model is capable of differentiating between benign and malignant skin lesions and also provides a specific diagnosis for malignant cases.
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  ## Model Usage
 
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  You can use the SkinSense model by installing the `transformers` library from Hugging Face:
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  The SkinSense model is designed to assist medical professionals in diagnosing skin diseases by analyzing images of skin lesions. It was trained on a large dataset of skin lesion images with corresponding labels for diagnosis. The model is capable of differentiating between benign and malignant skin lesions and also provides a specific diagnosis for malignant cases.
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  ## Model Usage
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+ The model will be uploaded later this week in .bin format and .tar.gz.
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  You can use the SkinSense model by installing the `transformers` library from Hugging Face:
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