CoEdIT: Text Editing by Task-Specific Instruction Tuning
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CoEdIT Large (ONNX)
ONNX quantized version of Grammarly's CoEdIT-Large model for browser-based text editing and grammatical error correction with Transformers.js.
Original Model
- Source: grammarly/coedit-large
- Paper: CoEdIT: Text Editing by Task-Specific Instruction Tuning (EMNLP 2023)
- Architecture: Flan-T5-Large (encoder-decoder)
- Parameters: ~770M
Conversion Details
- Format: ONNX
- Quantization: INT8 (dynamic quantization)
- Size: ~780MB
- Converted by: Optimum CLI
How It Works
CoEdIT is a text-to-text model fine-tuned for various editing tasks. For grammar correction, use the prompt format:
Fix grammatical errors: <input text>
The model generates the corrected text directly.
Usage with Transformers.js
import { pipeline } from '@huggingface/transformers';
const corrector = await pipeline(
'text2text-generation',
'YOUR_USERNAME/coedit-large',
{ dtype: 'q8' }
);
const result = await corrector('Fix grammatical errors: He go to school yesterday.');
console.log(result[0].generated_text);
// "He went to school yesterday."
Supported Tasks
CoEdIT supports multiple editing tasks via different prompts:
Fix grammatical errors: ...- Grammar correctionParaphrase: ...- ParaphrasingSimplify: ...- Text simplificationMake this more formal: ...- Formality transferMake this more coherent: ...- Coherence improvement
Performance
More flexible than GECToR (can rewrite sentences), but slower due to autoregressive generation.
License
Apache 2.0 (following original model license)
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