Update README.md

README.md

@@ -44,7 +44,7 @@ parameters:
 
 A fine-tuned version of [google/t5-v1_1-large](https://huggingface.co/google/t5-v1_1-large) for grammar correction on an expanded version of the [JFLEG](https://paperswithcode.com/dataset/jfleg) dataset.
 
-usage in Python:
+usage in Python (after `pip install transformers`):
 
 ```
 from transformers import pipeline
@@ -52,9 +52,12 @@ from transformers import pipeline
 corrector = pipeline(
               'text2text-generation',
               'pszemraj/grammar-synthesis-large',
-              
               )
+raw_text = 'i can has cheezburger'
+results = corrector(raw_text)
+print(results)
 ```
+
 ## Model description
 
 The intent is to create a text2text language model that successfully completes "single-shot grammar correction" on a potentially grammatically incorrect text **that could have a lot of mistakes** with the important qualifier of _it does not semantically change text/information that IS grammatically correct._