Update README.md

README.md

@@ -90,7 +90,7 @@ print(results)
 
 **For Batch Inference:** see [this discussion thread](https://huggingface.co/pszemraj/flan-t5-large-grammar-synthesis/discussions/1) for details, but essentially the dataset consists of several sentences at a time, and so I'd recommend running inference **in the same fashion:** batches of 64-96 tokens ish (or, 2-3 sentences split with regex) 
 
-- it is also helpful to **first** check whether or not a given sentence needs grammar correction before using the text2text model. You can do this with BERT-type models fine-tuned on CoLA like `extattack/roberta-base-CoLA`
+- it is also helpful to **first** check whether or not a given sentence needs grammar correction before using the text2text model. You can do this with BERT-type models fine-tuned on CoLA like `textattack/roberta-base-CoLA`
 - I made a notebook demonstrating batch inference [here](https://colab.research.google.com/gist/pszemraj/6e961b08970f98479511bb1e17cdb4f0/batch-grammar-check-correct-demo.ipynb)