Update README.md

README.md

@@ -9,7 +9,7 @@ library_name: transformers
 license: mit
 ---
 
-# deberta-v3-base-zeroshot-v1
+# deberta-v3-large-zeroshot-v1
 ## Model description
 The model is designed for zero-shot classification with the Hugging Face pipeline. 
 The model should be substantially better at zero-shot classification than my other zero-shot models on the
@@ -41,7 +41,7 @@ as opposed to three classes (entailment/neutral/contradiction)
 #### Simple zero-shot classification pipeline
 ```python
 from transformers import pipeline
-classifier = pipeline("zero-shot-classification", model="MoritzLaurer/deberta-v3-base-zeroshot-v1")
+classifier = pipeline("zero-shot-classification", model="MoritzLaurer/deberta-v3-large-zeroshot-v1")
 sequence_to_classify = "Angela Merkel is a politician in Germany and leader of the CDU"
 candidate_labels = ["politics", "economy", "entertainment", "environment"]
 output = classifier(sequence_to_classify, candidate_labels, multi_label=False)