Update model.py

model.py

@@ -59,4 +59,10 @@ class Model(LabelStudioMLBase):
                 'model_version': 'diegokauer/conditional-detr-coe-int',  # all predictions will be differentiated by model version
                 'result': result_list
             })
-        return predictions
+        return predictions
+
+    def fit(self, annotations, **kwargs):
+        """ This is where training happens: train your model given list of annotations, 
+            then returns dict with created links and resources
+        """
+        return {'path/to/created/model': 'my/model.bin'}