Update README.md

README.md

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 license: mit
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+pipeline_tag: image-classification
+---
+## Model Details
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+This model is trained on 224X224 Grayscale images which are CT-scans
+that are transformed into JPEG. The model is a finetuned version of 
+[Swin Transformer (tiny-sized model)](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224).
+I also used this tutorial.[Swin Transformer (tiny-sized model)](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/image_classification.ipynb#scrollTo=UX6dwmT7GP91). 
+
+
+
+## Uses
+
+The model can be used to classify JPEG images of CT scans into either cancer positive or
+Cancer negative groups.
+
+
+
+### Out-of-Scope Use
+
+This model is not meant to be used in place of medical diagnosis