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license: cc-by-4.0 |
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# IndicTrans3 |
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**IndicTrans3** is a multilingual translation model for 15 Indic languages. This repository provides an inference script that leverages [vLLM](https://github.com/vllm-project/vllm) for efficient and scalable translation. |
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The model is built on top of **Gemma-3** and fine-tuned for **document-level translation** tasks. It supports both **sentence-level** and **document-level** translation in **both directions**: |
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- English ↔ Indic Languages |
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- Indic Languages ↔ English |
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--- |
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## 🌐 Supported Languages |
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**IndicTrans3** supports translation across a wide range of Indic languages. The primary set includes: |
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> **Assamese, Bengali, Gujarati, Hindi, Kannada, Maithili, Malayalam, Marathi, Nepali, Odia, Punjabi, Sanskrit, Tamil, Telugu, Urdu** |
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In addition to these, **IndicTrans3** extends preliminary support to the following 7 low-resource languages: |
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> **Bodo, Dogri, Kashmiri, Konkani, Manipuri, Santali, Sindhi** |
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⚠️ *Note*: While these low-resource languages are supported, their translation quality may vary due to limited training data. We are actively working on improving support for these languages, and enhancements will be included in future releases. |
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## 🛠️ Installation |
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1. **Install PyTorch** |
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Follow the instructions based on your system and CUDA version from the official [PyTorch website](https://pytorch.org/get-started/locally/). |
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2. **Install required dependencies** |
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```bash |
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pip install vllm transformers |
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``` |
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3. Run Inference with vllm |
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```bash |
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python vllm-inference.py \ |
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--model <model_path> \ |
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--input_file <input_file> \ |
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--output_path <output_file> \ |
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--src_lang <source_language> \ |
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--tgt_lang <target_language> \ |
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--input_column <input_column> \ |
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--input_type <input_type> \ |
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``` |
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## License |
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This model is licensed under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license. You are free to share and adapt the material for any purpose, even commercially, as long as you provide appropriate credit, indicate if changes were made, and distribute your contributions under the same license. |
