Load final model in app.py

app.py

@@ -16,7 +16,7 @@ def get_model_and_tokenizer():
     tokenizer = AutoTokenizer.from_pretrained(model_name)
     model = AutoModelForSequenceClassification.from_pretrained(model_name, num_labels=num_labels)
 
-    chkp = torch.load("arxiv_roberta_9unfrozen_5scaleloss.pt", map_location=device)
+    chkp = torch.load("arxiv_roberta_final.pt", map_location=device)
     model.load_state_dict(chkp['model'])
 
     return model, tokenizer