Update README.md

README.md

@@ -66,17 +66,12 @@ Given an edit instruction and an original text, our model can generate the edite
 ```python
 from transformers import AutoTokenizer, T5ForConditionalGeneration
 
-tokenizer = AutoTokenizer.from_pretrained("grammarly/coedit-xl")
-model = T5ForConditionalGeneration.from_pretrained("grammarly/coedit-xl")
-input_text = 
+tokenizer = AutoTokenizer.from_pretrained("grammarly/coedit-large")
+model = T5ForConditionalGeneration.from_pretrained("grammarly/coedit-large")
+input_text = 'Fix grammatical errors in this sentence: New kinds of vehicles will be invented with new technology than today.'
 input_ids = tokenizer(input_text, return_tensors="pt").input_ids
 outputs = model.generate(input_ids, max_length=256)
 edited_text = tokenizer.decode(outputs[0], skip_special_tokens=True)[0]
-
-before_input = 'Fix grammatical errors in this sentence: New kinds of vehicles will be invented with new technology than today.'
-model_input = tokenizer(before_input, return_tensors='pt')
-model_outputs = model.generate(**model_input, num_beams=8, max_length=1024)
-after_text = tokenizer.batch_decode(model_outputs, skip_special_tokens=True)[0]
 ```