Update README.md

README.md

@@ -227,7 +227,7 @@ This model is a fine-tuned version of [google/long-t5-tglobal-base](https://hugg
 
 ## Usage 
 
-It's recommended to usage this model with [beam search decoding](https://huggingface.co/docs/transformers/generation_strategies#beamsearch-decoding). If interested, you can also use the `textsum` util repo to have most of this abstracted out for you:
+It's recommended to use this model with [beam search decoding](https://huggingface.co/docs/transformers/generation_strategies#beamsearch-decoding). If interested, you can also use the `textsum` util repo to have most of this abstracted out for you:
 
 
 ```bash
@@ -250,7 +250,7 @@ print(summary)
 
 ## Training and evaluation data
 
-The `elife` subset of the :lay summaries dataset. Refer to `pszemraj/scientific_lay_summarisation-elife-norm`
+The `elife` subset of the lay summaries dataset. Refer to `pszemraj/scientific_lay_summarisation-elife-norm`
 
 ## Training procedure