Update app.py

app.py

@@ -5,7 +5,8 @@ from transformers import AutoModelForSequenceClassification, AutoTokenizer
 # ✅ Load model & tokenizer
 model_name = "microsoft/deberta-v3-base"  # Change if needed
 model = AutoModelForSequenceClassification.from_pretrained(model_name, num_labels=16)
-tokenizer = AutoTokenizer.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=False)
+
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 model.to(device)