mentioned the exact finetuned model used for NER

app.py

@@ -7,7 +7,7 @@ def generate_story(story):
 
 demo = gr.Interface (
     fn=generate_story,
-    description="Named Entity Recognition Demo with BERT",
+    description="Named Entity Recognition Demo with BERT (dbmdz/bert-large-cased-finetuned-conll03-english)",
     examples=[
         ["England won the 2019 world cup vs The 2019 world cup happened in England."],
         ["Washington is the capital of the US vs The first president of the US was Washington."],