make batchable

service.py

@@ -1,5 +1,4 @@
 import bentoml
-
 from bentoml.io import Image, JSON
 from transformers import pipeline
 
@@ -12,7 +11,7 @@ class PretrainedModelRunnable(bentoml.Runnable):
         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)
+    @bentoml.Runnable.method(batchable=True)
     def __call__(self, input_text):
         return self.unmasker(input_text)