Update app.py

app.py

@@ -30,7 +30,7 @@ For example, you may want to process text and store the entities in different co
 task = "ner"
 sparse_qa_pipeline = Pipeline.create(
         task=task,
-        model_path="zoo:nlp/token_classification/bert-base/pytorch/huggingface/conll2003/12layer_pruned80_quant-none-vnni",
+        model_path="zoo:nlp/token_classification/distilbert-none/pytorch/huggingface/conll2003/pruned80_quant-none-vnni",
     )
 
 def map_ner(inference):
@@ -80,7 +80,7 @@ with gr.Blocks() as demo:
         with gr.Column():
             gr.Markdown("""
             ### Named Entity Recognition Demo
-            Using [token_classification/bert-base](https://sparsezoo.neuralmagic.com/models/nlp%2Ftoken_classification%2Fdistilbert-none%2Fpytorch%2Fhuggingface%2Fconll2003%2Fpruned80_quant-none-vnni)
+            Using [token_classification/distilbert](https://sparsezoo.neuralmagic.com/models/nlp%2Ftoken_classification%2Fdistilbert-none%2Fpytorch%2Fhuggingface%2Fconll2003%2Fpruned80_quant-none-vnni)
 
             """)
             text = gr.Text(label="Text")