Update README.md

README.md

@@ -26,10 +26,8 @@ tags:
 ```
 classifier = pipeline("text-classification", model="maximuspowers/bias-type-classifier") // pass in return_all_scores=True for multi-label
 result = classifier("Tall people are so clumsy")
-```
 
-### Example Result
-```json
+//Example Result
 [
     {
         "label": "physical",
@@ -37,6 +35,11 @@ result = classifier("Tall people are so clumsy")
     }
 ]
 ```
+<!-- 
+### Example Result
+```json
+
+``` -->
 
 This model was trained on a [synthetic dataset](https://huggingface.co/datasets/ethical-spectacle/biased-corpus) of biased statements and questions, generated by Mistal 7B as part of the [GUS-Net paper](https://www.linkedin.com/posts/maximuspowers_gus-net-social-bias-ner-model-activity-7245547070978240512-QUqO).