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

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Total runs: 10
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7-day runs: 0
30-day runs: 10
Model's Last Updated: August 16 2025
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Introduction of opus-mt-en-bem-ctranslate2-android

Model Details of opus-mt-en-bem-ctranslate2-android

opus-mt-en-bem-ctranslate2-android

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

Model Details
  • Original Model : Helsinki-NLP/opus-mt-en-bem
  • Format : CTranslate2
  • Quantization : INT8
  • Framework : OPUS-MT
  • Converted by : Automated conversion pipeline
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])
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

Runs of manancode opus-mt-en-bem-ctranslate2-android on huggingface.co

10
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