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Update README.md

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@@ -68,15 +68,10 @@ from transformers import AutoTokenizer, T5ForConditionalGeneration
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  tokenizer = AutoTokenizer.from_pretrained("grammarly/coedit-large")
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  model = T5ForConditionalGeneration.from_pretrained("grammarly/coedit-large")
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- input_text =
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  input_ids = tokenizer(input_text, return_tensors="pt").input_ids
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  outputs = model.generate(input_ids, max_length=256)
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  edited_text = tokenizer.decode(outputs[0], skip_special_tokens=True)[0]
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-
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- before_input = 'Fix grammatical errors in this sentence: New kinds of vehicles will be invented with new technology than today.'
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- model_input = tokenizer(before_input, return_tensors='pt')
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- model_outputs = model.generate(**model_input, num_beams=8, max_length=1024)
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- after_text = tokenizer.batch_decode(model_outputs, skip_special_tokens=True)[0]
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  ```
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  tokenizer = AutoTokenizer.from_pretrained("grammarly/coedit-large")
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  model = T5ForConditionalGeneration.from_pretrained("grammarly/coedit-large")
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+ input_text = 'Fix grammatical errors in this sentence: New kinds of vehicles will be invented with new technology than today.'
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  input_ids = tokenizer(input_text, return_tensors="pt").input_ids
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  outputs = model.generate(input_ids, max_length=256)
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  edited_text = tokenizer.decode(outputs[0], skip_special_tokens=True)[0]
 
 
 
 
 
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  ```
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