| | --- |
| | title: Pruned NLLB ExecutorTorch Model |
| | emoji: 🌍 |
| | colorFrom: blue |
| | colorTo: purple |
| | sdk: docker |
| | sdk_version: latest |
| | app_file: app.py |
| | pinned: false |
| | license: cc-by-nc-4.0 |
| | --- |
| | |
| | # Pruned NLLB ExecutorTorch Model |
| |
|
| | This is a pruned version of the NLLB-200 model exported to ExecutorTorch (.pte) format for mobile deployment. |
| |
|
| | ## Model Information |
| |
|
| | - **Base Model**: NLLB-200-distilled-600M |
| | - **Format**: ExecutorTorch (.pte) |
| | - **Pruned Languages**: eng_Latn, deu_Latn, als_Latn, ell_Grek, ita_Latn, tur_Latn |
| | - **Quantization**: No (FP32) |
| | - **Purpose**: On-device translation for mobile applications |
| |
|
| | ## Files |
| |
|
| | - `nllb_model.pte` - ExecutorTorch model file |
| | - `tokenizer.json` - Tokenizer configuration |
| | - Other supporting files |
| |
|
| | ## Usage |
| |
|
| | This model is designed for use with `react-native-executorch` in mobile applications. |
| |
|
| | ```javascript |
| | import { useExecutorchModule } from 'react-native-executorch'; |
| | |
| | const model = useExecutorchModule({ |
| | modelSource: require('./nllb_model.pte'), |
| | }); |
| | ``` |
| |
|
| | ## Supported Languages |
| |
|
| | The model supports translation between the following languages: |
| |
|
| | - eng_Latn |
| | - deu_Latn |
| | - als_Latn |
| | - ell_Grek |
| | - ita_Latn |
| | - tur_Latn |
| |
|
| | ## License |
| |
|
| | This model follows the license of the base NLLB-200 model (CC-BY-NC-4.0). |
| |
|
| | ## Citation |
| |
|
| | If you use this model, please cite the original NLLB paper: |
| |
|
| | ```bibtex |
| | @article{nllb2022, |
| | title={No Language Left Behind: Scaling Human-Centered Machine Translation}, |
| | author={Costa-jussà, Marta R. and Cross, James and Çelebi, Onur and others}, |
| | journal={arXiv preprint arXiv:2207.04672}, |
| | year={2022} |
| | } |
| | ``` |
| |
|
