Update README.md

README.md

@@ -339,8 +339,8 @@ NLI training data of this model includes [label-nli](https://huggingface.co/data
 ```python
 from transformers import pipeline
 nli_pipe = pipeline("text-classification",model="sileod/deberta-v3-base-tasksource-nli")
-make_input = lambda x: [dict(text=prem,text_pair=hyp) for prem,hyp in x]
-nli_pipe(make_input([('there is a cat','there is a black cat')])) #list of (premise,hypothesis)
+nli_pipe([dict(text='there is a cat',
+  text_pair='there is a black cat')]) #list of (premise,hypothesis)
 # [{'label': 'neutral', 'score': 0.9952911138534546}]
 ```