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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 anyhow;
use rust_bert::pipelines::common::ModelType;
use rust_bert::pipelines::translation::{Language, TranslationModelBuilder};
use tch::Device;
fn main() -> anyhow::Result<()> {
let model = TranslationModelBuilder::new()
.with_device(Device::cuda_if_available())
.with_model_type(ModelType::Marian)
// .with_large_model()
.with_source_languages(vec![Language::English])
.with_target_languages(vec![Language::Spanish])
.create_model()?;
let input_context_1 = "This is a sentence to be translated";
let input_context_2 = "The dog did not wake up.";
let output = model.translate(&[input_context_1, input_context_2], None, Language::Spanish)?;
for sentence in output {
println!("{sentence}");
}
Ok(())
}