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print(corrected_text[0]['generated_text']) In conclusion, while the allure of premium features

for match in matches: print(f"Error: match.ruleId") print(f"Message: match.message") print(f"Suggestions: match.replacements") This often involves creating a "crack" - a

# Load a grammar correction model corrector = pipeline("text2text-generation", model="vennify/t5-base-grammar-correction")

from transformers import pipeline

If you are interested in the functionality for educational or development purposes, a better approach is to leverage the open-source version of LanguageTool or build a custom solution.