---
license: apache-2.0
datasets:
- CodeTed/CGEDit_dataset
language:
- zh
metrics:
- accuracy
library_name: transformers
tags:
- CGED
- CSC
pipeline_tag: text2text-generation
---
# CGEDit - Chinese Grammatical Error Diagnosis by Task-Specific Instruction Tuning
![CGEDit_model.png](https://cdn-uploads.huggingface.co/production/uploads/64c7473f513a7fa7c32e153b/AtlsZUWz86rKyb_9EWlDa.png)

## Usage
```python
from transformers import AutoTokenizer, T5ForConditionalGeneration

tokenizer = AutoTokenizer.from_pretrained("CodeTed/CGEDit")
model = T5ForConditionalGeneration.from_pretrained("CodeTed/CGEDit")
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)
```