Update README.md

README.md

@@ -18,7 +18,7 @@ model-index:
   results: []
 pipeline_tag: zero-shot-classification
 widget:
-- text: 明日の予定を教えて
+- text: 今日の予定を教えて
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -45,11 +45,11 @@ from transformers import pipeline
 model_name = "thkkvui/mDeBERTa-v3-base-finetuned-nli-jnli"
 classifier = pipeline("zero-shot-classification", model=model_name)
 
-text = "明日の予定を教えて"
-labels = ["天気", "ニュース", "金融", "予定"]
+text = ["今日の天気を教えて", "ニュースある？", "予定をチェックして", "ドル円は？"]
 
-output = classifier(text, labels, multi_label=False)
-print(output)
+for t in text:
+    output = classifier(text, labels, multi_label=False)
+    print(output)
 ```
 
 #### NLI use-case