use generic model

service.py

@@ -13,8 +13,8 @@ class PretrainedModelRunnable(bentoml.Runnable):
     SUPPORTS_CPU_MULTI_THREADING = True
 
     def __init__(self):
-        self.unmasker = pipeline('object-detection', model="davanstrien/detr-resnet-50_fine_tuned_nls_chapbooks",
-                                 feature_extractor="davanstrien/detr-resnet-50_fine_tuned_nls_chapbooks")
+        self.unmasker = pipeline('object-detection') #model="davanstrien/detr-resnet-50_fine_tuned_nls_chapbooks",
+        #                          feature_extractor="davanstrien/detr-resnet-50_fine_tuned_nls_chapbooks")
 
     @bentoml.Runnable.method(batchable=False)
     def __call__(self, input_text):