Update README.md

README.md

@@ -33,9 +33,9 @@ prediction = {name: round(float(pred) * 100, 1) for pred, name in zip(prediction
 print(prediction)
 ```
 
-Example cURL:
+# Example cURL:
 
-''''curl YOUR INFERENCE ENDPOINT URL HERE \ -X POST \ -d '{"inputs": {"premise": "A man is walking his dog in the park.", "hypothesis": "A person is outside with an animal."}}' \ -H "Authorization: Bearer hf_YOUR_TOKEN_HERE" \ -H "Content-Type: application/json
+''''curl YOUR INFERENCE ENDPOINT URL HERE \ -X POST \ -d '{"inputs": {"premise": "A man is walking his dog in the park.", "hypothesis": "A person is outside with an animal."}}' \ -H "Authorization: Bearer hf_YOUR_TOKEN_HERE" \ -H "Content-Type: application/json```
 ### Training data
 This model was trained on the MultiNLI dataset, which consists of 392 702 NLI hypothesis-premise pairs.