grammarly
/

coedit-large

Text2Text Generation

text-generation-inference

Inference Endpoints

Model card Files Files and versions Community

machineteacher commited on May 22, 2023

Commit

a4ecfba

•

1 Parent(s): 2f1c947

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -70,7 +70,7 @@ from transformers import AutoTokenizer, T5ForConditionalGeneration
 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)

 tokenizer = AutoTokenizer.from_pretrained("grammarly/coedit-large")
 model = T5ForConditionalGeneration.from_pretrained("grammarly/coedit-large")
+input_text = 'Fix grammatical errors in this sentence: When I grow up, I start to understand what he said is quite right.'
 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)