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title: Quantized_lang._Translator
app_file: app.py
sdk: gradio
sdk_version: 5.48.0
---
# NLLB-FB Language Translator (Quantized, CPU-Friendly)
This project provides a quantized, CPU-optimized version of the NLLB (No Language Left Behind) Facebook language translation model. It enables very fast inference on CPUs for translating between a wide variety of languages.
## Features
- **Quantized Model:** Reduced model size for efficient CPU usage.
- **Fast Inference:** Optimized for low-latency translation on standard CPUs.
- **Multi-language Support:** Translate between many language pairs.
- **Easy Integration:** Simple API for batch and single-sentence translation.
## Usage
1. **Install dependencies:**
```bash
pip install torch transformers
```
2. **Run the Gradio app:**
```bash
python app.py
```
## Supported Languages
See the [NLLB-200 language list](https://github.com/facebookresearch/fairseq/tree/main/examples/nllb) for all supported languages.
## References
- [NLLB: No Language Left Behind](https://ai.facebook.com/research/no-language-left-behind/)
- [Transformers Documentation](https://huggingface.co/docs/transformers/model_doc/nllb)
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