Update model.py

model.py

@@ -20,10 +20,9 @@ def get_model_and_tokenizer() -> Tuple[AutoModelForCausalLM, AutoTokenizer]:
         device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
         # Load the tokenizer and the model
-        tokenizer = AutoTokenizer.from_pretrained("MikeMpapa/lmd_mmm_tokenizer_tutorial_artist", use_auth_token=True)
+        tokenizer = AutoTokenizer.from_pretrained("MikeMpapa/lmd_mmm_tokenizer_tutorial_artist")
         model = AutoModelForCausalLM.from_pretrained(
-            "MikeMpapa/lmd-4bars-2048-epochs7",
-            use_auth_token=True
+            "MikeMpapa/lmd-4bars-2048-epochs7"
         )
 
         # Move model to device