Update README.md

README.md

@@ -1,40 +1,4 @@
----
-tags:
-- image-classification
-- pytorch
-- huggingpics
-metrics:
-- accuracy
+pneumonia-bielefeld-dl-course
+This registry contains the model for making pneumonia predictions and was prepared for Bielefeld University Deep Learning course homework.
 
-model-index:
-- name: pneumonia_test_attempt
-  results:
-  - task:
-      name: Image Classification
-      type: image-classification
-    metrics:
-      - name: Accuracy
-        type: accuracy
-        value: 0.9783163070678711
----
-
-# pneumonia_test_attempt
-
-
-Autogenerated by HuggingPics🤗🖼️
-
-Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
-
-Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics).
-
-
-## Example Images
-
-
-#### NORMAL
-
-![NORMAL](images/NORMAL.jpeg)
-
-#### PNEUMONIA
-
-![PNEUMONIA](images/PNEUMONIA.jpeg)
+The code used for this implementation mostly comes from here: https://github.com/nateraw/huggingpics it was a ready pipeline for model fine-tuning with huggingface and PyTorch Lightning for another dataset.