update model path

milestone-3.py

@@ -22,7 +22,7 @@ dataset = filtered_dataset.shuffle(seed=42).select(range(20))
 dataset = dataset.sort("patent_number")
 
 # Create pipeline using model trainned on Colab
-model = torch.load("/workspaces/cs-gy-6613-project/patent_classifier.pt", map_location=torch.device('cpu'))
+model = torch.load("patent_classifier.pt", map_location=torch.device('cpu'))
 tokenizer = AutoTokenizer.from_pretrained("distilbert-base-uncased")
 classifier = pipeline("text-classification", model=model, tokenizer=tokenizer)