fancy formatting

README.md

@@ -313,7 +313,8 @@ model-index:
 # long-t5-tglobal-base-16384 + BookSum
 
 - summarize long text and get a SparkNotes-esque summary of arbitrary topics!
-- generalizes reasonably well to academic & narrative text. A very simple example/use case on ASR is [here](https://longt5-booksum-example.netlify.app/)
+- generalizes reasonably well to academic & narrative text. 
+- A very simple example/use case on ASR is [here](https://longt5-booksum-example.netlify.app/)
 
 ## Cheeky Proof-of-Concept
 
@@ -336,7 +337,7 @@ Install/update transformers `pip install -U transformers`
 
 Summarize text with pipeline:
 
-```
+```python
 from transformers import pipeline
 
 summarizer = pipeline(