rust-bert 0.7.6

Ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Documentation 
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// Copyright 2018-2020 The HuggingFace Inc. team.
// Copyright 2020 Marian Team Authors
// Copyright 2019-2020 Guillaume Becquin
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//     http://www.apache.org/licenses/LICENSE-2.0
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

extern crate failure;

use rust_bert::pipelines::translation::{TranslationConfig, TranslationModel, Language};
use tch::Device;

fn main() -> failure::Fallible<()> {


    let translation_config = TranslationConfig::new(Language::EnglishToGerman, Device::cuda_if_available());
    let mut 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]);

    for sentence in output {
        println!("{}", sentence);
    }
    Ok(())
}