opus-mt-lg-en-ctranslate2-android

This is a quantized INT8 version of Helsinki-NLP/opus-mt-lg-en converted to CTranslate2 format for efficient inference.

Model Details

Original Model: Helsinki-NLP/opus-mt-lg-en
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

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

manancode/opus-mt-lg-en-ctranslate2-android