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Get Grammatical corrections on your English text, trained on a subset of c4-200m dataset

Use the below code for running the model



from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
from transformers import pipeline

tokenizer = AutoTokenizer.from_pretrained("leslyarun/grammatical-error-correction")
model = AutoModelForSeq2SeqLM.from_pretrained("leslyarun/grammatical-error-correction")
  
text2text_generator = pipeline("text2text-generation", model=model, tokenizer=tokenizer)
output = text2text_generator("grammar: " + sentence)
print(output[0]["generated_text"])
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Safetensors
Model size
223M params
Tensor type
F32
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