Beta

Explore
Marketplace
Neural Labs
Playground
Wallet
Docs

Beta

Explore Marketplace Neural Labs Wallet Docs

Build

Manage

My assets Manage wallet Organization

Community

Discord X (Twitter)Telegram

Docs Privacy Policy Terms and Conditions

Proud member of

Proud member of

Docs Cookie Policy

Privacy Policy Terms and Conditions

© 2026 AlphaNeural AI. All rights reserved.

Chinese_Grammarly – AI Model by CodeTed | AlphaNeural AI

You can deploy this model and start earning money today!

CodeTed/
Chinese_Grammarly

like

0

text2text-generation

CodeTed/CGEDit_dataset

text-generation-inference

endpoints_compatible

Views

No views yet

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

Repository: https://github.com/TedYeh/Chinese_spelling_Correction

Usage

python

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)