rust-bert 0.23.0

Ready-to-use NLP pipelines and language models
Documentation 
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// Copyright 2021 The Fairseq Authors and The HuggingFace Inc. team. All rights reserved.
// 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::m2m_100::{
    M2M100ConfigResources, M2M100MergesResources, M2M100ModelResources, M2M100SourceLanguages,
    M2M100TargetLanguages, M2M100VocabResources,
};
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(M2M100ModelResources::M2M100_418M);
    let config_resource = RemoteResource::from_pretrained(M2M100ConfigResources::M2M100_418M);
    let vocab_resource = RemoteResource::from_pretrained(M2M100VocabResources::M2M100_418M);
    let merges_resource = RemoteResource::from_pretrained(M2M100MergesResources::M2M100_418M);

    let source_languages = M2M100SourceLanguages::M2M100_418M;
    let target_languages = M2M100TargetLanguages::M2M100_418M;

    let translation_config = TranslationConfig::new(
        ModelType::M2M100,
        ModelResource::Torch(Box::new(model_resource)),
        config_resource,
        vocab_resource,
        Some(merges_resource),
        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(())
}