// Copyright 2019-present, the HuggingFace Inc. team, The Google AI Language Team and Facebook, Inc. // Copyright 2019 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::mbart::{ MBartConfigResources, MBartModelResources, MBartSourceLanguages, MBartTargetLanguages, MBartVocabResources, }; use rust_bert::pipelines::common::{ModelResource, ModelType}; use rust_bert::pipelines::translation::{Language, TranslationConfig, TranslationModel}; use rust_bert::resources::RemoteResource; use tch::Device; fn main() -> anyhow::Result<()> { let model_resource = RemoteResource::from_pretrained(MBartModelResources::MBART50_MANY_TO_MANY); let config_resource = RemoteResource::from_pretrained(MBartConfigResources::MBART50_MANY_TO_MANY); let vocab_resource = RemoteResource::from_pretrained(MBartVocabResources::MBART50_MANY_TO_MANY); let source_languages = MBartSourceLanguages::MBART50_MANY_TO_MANY; let target_languages = MBartTargetLanguages::MBART50_MANY_TO_MANY; let translation_config = TranslationConfig::new( ModelType::MBart, ModelResource::Torch(Box::new(model_resource)), config_resource, vocab_resource, None, source_languages, target_languages, Device::cuda_if_available(), ); let model = TranslationModel::new(translation_config)?; let source_sentence = "This sentence will be translated in multiple languages."; let mut outputs = Vec::new(); outputs.extend(model.translate(&[source_sentence], Language::English, Language::French)?); outputs.extend(model.translate(&[source_sentence], Language::English, Language::Spanish)?); outputs.extend(model.translate(&[source_sentence], Language::English, Language::Hindi)?); for sentence in outputs { println!("{sentence}"); } Ok(()) }