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CGEDit - Chinese Grammatical Error Diagnosis by Task-Specific Instruction Tuning

Try the model from this space "Chinese Grammarly".

This model was obtained by fine-tuning the corresponding ClueAI/PromptCLUE-base-v1-5 model on the CoEdIT dataset. CGEDit_model.png

Model Details

Model Description

  • Language(s) (NLP): Chinese
  • Finetuned from model: ClueAI/PromptCLUE-base-v1-5

Model Sources


from transformers import AutoTokenizer, T5ForConditionalGeneration

tokenizer = AutoTokenizer.from_pretrained("CodeTed/Chinese_Grammarly")
model = T5ForConditionalGeneration.from_pretrained("CodeTed/Chinese_Grammarly")
input_text = '糾正句子裡的錯字: 看完那段文張,我是反對的!'
input_ids = tokenizer(input_text, return_tensors="pt").input_ids
outputs = model.generate(input_ids, max_length=256)
edited_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
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