Edit model card

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

Use the below code for running the model


from transformers import AutoTokenizer
from optimum.onnxruntime import ORTModelForSeq2SeqLM
from optimum.pipelines import pipeline

tokenizer = AutoTokenizer.from_pretrained("leslyarun/grammatical-error-correction-quantized")
model = ORTModelForSeq2SeqLM.from_pretrained("leslyarun/grammatical-error-correction-quantized",
                                              encoder_file_name="encoder_model_quantized.onnx",
                                              decoder_file_name="decoder_model_quantized.onnx",
                                              decoder_with_past_file_name="decoder_with_past_model_quantized.onnx")
  
text2text_generator = pipeline("text2text-generation", model=model, tokenizer=tokenizer)
output = text2text_generator("grammar: " + sentence)
print(output[0]["generated_text"])
Downloads last month
7
Inference Examples
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.

Space using leslyarun/grammatical-error-correction-quantized 1