Update app.py

app.py

@@ -10,7 +10,7 @@ import streamlit as st
   
 from transformers import pipeline
 
-model_name = "xlm-roberta-base-squad2"
+model_name = "deepset/xlm-roberta-large-squad2"
 
 qa_pl = pipeline('question-answering', model=model_name, tokenizer=model_name, device=0)
 
@@ -28,4 +28,7 @@ if context and question:
 
 #    result = qa_pl(context=ctx, question=q)
     
-#    predictions.append(result["answer"])
+#    predictions.append(result["answer"])
+
+model = AutoModelForQuestionAnswering.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)