diff --git a/generator/model.py b/generator/model.py
index a6281e2..20818bb 100644
--- a/generator/model.py
+++ b/generator/model.py
@@ -10,7 +10,11 @@ def get_default_pipeline(model_name: str) -> Pipeline:
     model = AutoModelForCausalLM.from_pretrained(
         model_name, device_map="auto", torch_dtype="auto"
     )
-    tokenizer = AutoTokenizer.from_pretrained(model_name)
+    
+    try:
+        tokenizer = AutoTokenizer.from_pretrained(model_name)
+    except:
+        tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast = False)
 
     pipe = tf_pipe(task="text-generation", model=model, tokenizer=tokenizer)
 
@@ -19,7 +23,11 @@ def get_default_pipeline(model_name: str) -> Pipeline:
 
 def get_onnx_pipeline(model_name: str) -> Pipeline:
     model = ORTModelForCausalLM.from_pretrained(model_name)
-    tokenizer = AutoTokenizer.from_pretrained(model_name)
+    
+    try:
+        tokenizer = AutoTokenizer.from_pretrained(model_name)
+    except:
+        tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast = False)
 
     pipe = opt_pipe(
         task="text-generation", model=model, tokenizer=tokenizer, accelerator="ort"
@@ -32,7 +40,11 @@ def get_bettertransformer_pipeline(model_name: str) -> Pipeline:
     model = AutoModelForCausalLM.from_pretrained(
         model_name, device_map="auto", torch_dtype="auto"
     )
-    tokenizer = AutoTokenizer.from_pretrained(model_name)
+    
+    try:
+        tokenizer = AutoTokenizer.from_pretrained(model_name)
+    except:
+        tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast = False)
 
     pipe = opt_pipe(
         task="text-generation",