Update README.md

README.md

@@ -34,6 +34,30 @@ embeddings = model.encode(sentences)
 print(embeddings)
 ```
 
+or by using API like this:
+
+```python
+import requests
+
+API_URL = "https://api-inference.huggingface.co/models/Ketan3101/sentensense"
+headers = {"Authorization": "Bearer Your token"}
+
+def query(payload):
+	response = requests.post(API_URL, headers=headers, json=payload)
+	return response.json()
+	
+output = query({
+	"inputs": {
+		"source_sentence": "That is a happy person",
+		"sentences": [
+			"That is a happy dog",
+			"That is a very happy person",
+			"Today is a sunny day"
+		]
+	},
+})
+```
+
 
 
 ## Usage (HuggingFace Transformers)