| --- |
| license: apache-2.0 |
| tags: |
| - translation |
| - opus-mt |
| - ctranslate2 |
| - quantized |
| language: |
| - multilingual |
| pipeline_tag: translation |
| --- |
| |
| # opus-mt-no-nl-ctranslate2-android |
|
|
| This is a quantized INT8 version of `Helsinki-NLP/opus-mt-no-nl` converted to CTranslate2 format for efficient inference. |
|
|
| ## Model Details |
|
|
| - **Original Model**: Helsinki-NLP/opus-mt-no-nl |
| - **Format**: CTranslate2 |
| - **Quantization**: INT8 |
| - **Framework**: OPUS-MT |
| - **Converted by**: Automated conversion pipeline |
|
|
| ## Files Included |
|
|
| - CTranslate2 model files (quantized INT8) |
| - SentencePiece tokenizer files (`source.spm`, `target.spm`) |
| - Integration guide for Android deployment |
|
|
| ## Usage |
|
|
| ### With CTranslate2 |
|
|
| ```python |
| import ctranslate2 |
| import sentencepiece as spm |
| |
| # Load the model |
| translator = ctranslate2.Translator("path/to/model") |
| |
| # Load tokenizers |
| sp_source = spm.SentencePieceProcessor(model_file="source.spm") |
| sp_target = spm.SentencePieceProcessor(model_file="target.spm") |
| |
| # Translate |
| source_tokens = sp_source.encode("Your text here", out_type=str) |
| results = translator.translate_batch([source_tokens]) |
| translation = sp_target.decode(results[0].hypotheses[0]) |
| ``` |
|
|
| ### Android Integration |
|
|
| See the included `INTEGRATION_GUIDE.txt` for Android implementation details. |
|
|
| ## Performance |
|
|
| This INT8 quantized version provides: |
| - ~75% reduction in model size |
| - Faster inference speed |
| - Maintained translation quality |
| - Mobile-friendly deployment |
|
|
| ## Original Model |
|
|
| Based on the OPUS-MT project: https://github.com/Helsinki-NLP/Opus-MT |
|
|
