Update app.py

app.py

@@ -18,13 +18,13 @@ MODEL_ID = "dejanseo/QDF-large"
 HF_TOKEN = os.getenv("HF_TOKEN")
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-# ← updated block here
 model = AutoModelForSequenceClassification.from_pretrained(
     MODEL_ID,
     token=HF_TOKEN,
-    low_cpu_mem_usage=False,
-    device_map=None
+    low_cpu_mem_usage=True,
+    device_map="auto"  # delegates placement automatically
 )
+
 tokenizer = AutoTokenizer.from_pretrained(MODEL_ID, token=HF_TOKEN)
 model.to(device)