Update README.md

README.md

@@ -55,7 +55,5 @@ model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
 ## More information about long-t5-tglobal-xl-16384-book-summary
 
 - This is an 8-bit quantized version of `pszemraj/long-t5-tglobal-xl-16384-book-summary`.
-- It generalizes reasonably well to academic and narrative text, producing high-quality summaries.
-- The XL checkpoint is used, resulting in even better summaries from a human evaluation perspective.
-- A simple example/use case with the base model on ASR can be found [here](https://huggingface.co/pszemraj/long-t5-tglobal-xl-16384-book-summary/tree/main/examples/asr).
-- A proof-of-concept example using the infamous Navy Seals copypasta demonstrates the model's ability to generate summaries from even short text inputs.
+  - It generalizes reasonably well to academic and narrative text.
+  - The XL checkpoint is used, resulting in even better summaries from a human evaluation perspective.