Update README.md

README.md

@@ -15,6 +15,21 @@ Overall, the data does not meet the criteria for Naive Bayes because the feature
 
 Using decision trees for this case is crucial because it offers clear interpretability of the classification logic. It will be able to differentiate legitimate vs illegitimate websites.
 
+## How to use the model
+
+In your notebook, paste the following code:
+
+from huggingface_hub import hf_hub_download
+hf_hub_download(repo_id="CSC310-fall25/training_classification_phishing", filename="model.pkl",local_dir='.')
+dt_loaded = sio.load('model.pkl')
+
+This will load the model.
+
+You can download the appropriate test data by pasting this code:
+
+hf_hub_download(repo_id="CSC310-fall25/training_classification_phishing", filename="phishing_test.csv",local_dir='.')
+phishing_test = pd.read_csv('phishing_test.csv')
+
 ### Hyperparameters
 
 <details>