Update README.md

README.md

@@ -18,6 +18,28 @@ base_model:
 
 - Problem type: Text Classification
 
+# Request Example
+```Python
+from transformers import pipeline
+
+
+emotion_classifier = pipeline("text-classification", model="XuehangCang/Emotion-Classification")
+
+
+texts = [
+    "I'm so happy today!",
+    "This is really sad.",
+    "I'm a bit nervous about what's going to happen.",
+    "This news makes me angry."
+]
+
+for text in texts:
+    result = emotion_classifier(text)
+    # 打印分类结果
+    print(f"Text: {text}")
+    print(f"Emotion classification result: {result}\n")
+```
+
 ## Validation Metrics
 loss: 0.13341853022575378