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"])
- Downloads last month
- 4
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.