add python usage

README.md

@@ -84,6 +84,26 @@ A fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/goo
 - 20+ epochs of fine-tuning from the base model on V100/A100 GPUs
 - all training used 16384 token input / 1024 max output
 
+## How-To in Python
+
+Install/update transformers `pip install -U transformers`:
+
+Summarize text with pipeline:
+
+```
+from transformers import pipeline
+
+summarizer = pipeline(
+    'summarization',
+    'pszemraj/long-t5-tglobal-base-16384-book-summary',
+    )
+long_text = "Here is a lot of text I don't want to read. Replace me"
+
+result = summarizer(long_text)
+print(result[0]['summary_text'])
+```
+
+You can [other parameters related to generating text with beam search](https://huggingface.co/blog/how-to-generate) to get even higher quality results.
 
 ## Intended uses & limitations