rust-bert 0.7.9

Ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Documentation 
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use rust_bert::pipelines::translation::{Language, TranslationConfig, TranslationModel};
use tch::Device;

#[test]
#[cfg_attr(not(feature = "all-tests"), ignore)]
fn test_translation() -> failure::Fallible<()> {
    //    Set-up translation model
    let translation_config = TranslationConfig::new(Language::EnglishToFrench, Device::Cpu);
    let model = TranslationModel::new(translation_config)?;

    let input_context_1 = "The quick brown fox jumps over the lazy dog";
    let input_context_2 = "The dog did not wake up";

    let output = model.translate(&[input_context_1, input_context_2]);

    assert_eq!(output.len(), 2);
    assert_eq!(
        output[0],
        " Le rapide renard brun saute sur le chien paresseux"
    );
    assert_eq!(output[1], " Le chien ne s'est pas réveillé.");

    Ok(())
}