Update app.py

app.py

@@ -5,7 +5,7 @@ from transformers import pipeline
 
 # Load the zero-shot classification model
 classifier = pipeline(
-    "zero-shot-classification", model="MoritzLaurer/deberta-v3-large-zeroshot-v2.0"
+    "zero-shot-classification", model="MoritzLaurer/ModernBERT-large-zeroshot-v2.0"
 )
 
 
@@ -42,8 +42,8 @@ examples = [
 
 # Title and description and article for the interface
 title = "Zero Shot Text Classification"
-description = "Classify text using zero-shot classification with DeBERTa-v3-large-zeroshot model! Provide a text input and a list of candidate labels separated by commas. Read more at the links below."
-article = "<p style='text-align: center'><a href='https://arxiv.org/pdf/2312.17543.pdf' target='_blank'>Building Efficient Universal Classifiers with Natural Language Inference</a> | <a href='https://huggingface.co/MoritzLaurer/deberta-v3-large-zeroshot-v2.0' target='_blank'>Model Page</a></p>"
+description = "Classify text using zero-shot classification with ModernBERT-large-zeroshot-v2.0 model! Provide a text input and a list of candidate labels separated by commas. Read more at the links below."
+article = "<p style='text-align: center'><a href='https://arxiv.org/pdf/2312.17543.pdf' target='_blank'>Building Efficient Universal Classifiers with Natural Language Inference</a> | <a href='https://huggingface.co/MoritzLaurer/ModernBERT-large-zeroshot-v2.0' target='_blank'>Model Page</a></p>"
 
 
 # Launch the interface