Update README.md

README.md

@@ -95,6 +95,15 @@ def query_model(input_text):
 print(query_model("Space X Engineer"))
 ```
 
+# Using in Transformers:
+
+```python
+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="sgarbi/gpt-nq-prompt-generator")
+pipe('<|title|>Sales Manager<|prompt|>')
+```
+
 ## Limitations
 - The model's responses are rooted in its training data. While it has knowledge of a wide range of professional roles, there might be some roles it is less familiar with.
 - The descriptions are synthetically generated. For critical applications, users should validate the content.