Grammar Fixer SFT by alfazick
Fine-tuned model for grammar correction using the CoEdit dataset (GEC task).
Usage
from transformers import pipeline
corrector = pipeline("text-generation", model="alfazick/sft-grammar-fixer")
result = corrector("Fix grammar: He don't likes the apples.", max_length=50)
Training Details
- Dataset: grammarly/coedit (filtered for grammar correction task)
- Fine-tuning method: Supervised Fine-Tuning (SFT)
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