updated model card

README.md

@@ -1,12 +1,12 @@
 ---
 tags:
-- fastai
-- resnet
-- computer-vision
-- classification
-- binary-classification
+  - fastai
+  - resnet
+  - computer-vision
+  - classification
+  - binary-classification
 license:
-- cc0-1.0
+  - cc0-1.0
 ---
 
 # Resnet34 Pokemon Card Classifier
@@ -15,4 +15,24 @@ license:
 
 This is a resnet34 model fine-tuned with fastai to [classify real and fake Pokemon cards (dataset)](https://www.kaggle.com/datasets/ongshujian/real-and-fake-pokemon-cards).
 
-## Intended uses & limitation
+Here is a colab notebook that shows how the model was trained and pushed to the hub: [link](https://github.com/mindwrapped/pokemon-card-checker/blob/main/pokemon_card_checker.ipynb).
+
+## Intended uses & limitation
+
+This model is trained to identify real vs fake cards based on the backs of the cards, not the front.
+
+## How to use
+
+```python
+from huggingface_hub import from_pretrained_fastai
+
+# Pull model from hub
+learn = from_pretrained_fastai('hugginglearners/pokemon-card-checker')
+
+# Get prediction for this image
+pred_label, _, scores = learn.predict(img)
+```
+
+## Training data
+
+Dataset located here: [link](https://www.kaggle.com/datasets/ongshujian/real-and-fake-pokemon-cards).