Update README.md

README.md

@@ -32,6 +32,19 @@ It achieves the following results on the evaluation set:
 
 More information needed
 
+#### How to use
+
+You can use this model with Transformers *pipeline* for NER.
+
+```python
+from transformers import pipeline
+gender_classifier = pipeline(model="NTQAI/pedestrian_gender_recognition")
+image_path = "abc.jpg"
+
+results = nlp(image_path)
+print(results)
+```
+
 ## Intended uses & limitations
 
 More information needed