mirror of
https://github.com/guillaume-be/rust-bert.git
synced 2024-09-11 12:55:34 +03:00
9b22c2482a
* get_local_path as trait LocalPathProvider * Remove config default impls * Feature gate RemoteResource * translation_builder refactoring to have remote fetching grouped * Include dirs crate in remote feature gate * Examples fixes * Benches fixes * Tests fix * Remove Box from constructor parameters * Fix examples no-Box * Fix benches no-Box * Fix tests no-Box * Fix doc comment code * Fix documentation `Resource` -> `ResourceProvider` * moved remote local at same level * moved ResourceProvider to resources mod Co-authored-by: Guillaume Becquin <guillaume.becquin@gmail.com>
57 lines
2.4 KiB
Rust
57 lines
2.4 KiB
Rust
// Copyright 2021 The Fairseq Authors and The HuggingFace Inc. team. All rights reserved.
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// Copyright 2019 Guillaume Becquin
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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// http://www.apache.org/licenses/LICENSE-2.0
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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extern crate anyhow;
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use rust_bert::m2m_100::{
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M2M100ConfigResources, M2M100MergesResources, M2M100ModelResources, M2M100SourceLanguages,
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M2M100TargetLanguages, M2M100VocabResources,
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};
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use rust_bert::pipelines::common::ModelType;
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use rust_bert::pipelines::translation::{Language, TranslationConfig, TranslationModel};
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use rust_bert::resources::RemoteResource;
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use tch::Device;
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fn main() -> anyhow::Result<()> {
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let model_resource = RemoteResource::from_pretrained(M2M100ModelResources::M2M100_418M);
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let config_resource = RemoteResource::from_pretrained(M2M100ConfigResources::M2M100_418M);
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let vocab_resource = RemoteResource::from_pretrained(M2M100VocabResources::M2M100_418M);
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let merges_resource = RemoteResource::from_pretrained(M2M100MergesResources::M2M100_418M);
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let source_languages = M2M100SourceLanguages::M2M100_418M;
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let target_languages = M2M100TargetLanguages::M2M100_418M;
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let translation_config = TranslationConfig::new(
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ModelType::M2M100,
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model_resource,
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config_resource,
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vocab_resource,
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merges_resource,
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source_languages,
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target_languages,
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Device::cuda_if_available(),
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);
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let model = TranslationModel::new(translation_config)?;
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let source_sentence = "This sentence will be translated in multiple languages.";
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let mut outputs = Vec::new();
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outputs.extend(model.translate(&[source_sentence], Language::English, Language::French)?);
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outputs.extend(model.translate(&[source_sentence], Language::English, Language::Spanish)?);
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outputs.extend(model.translate(&[source_sentence], Language::English, Language::Hindi)?);
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for sentence in outputs {
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println!("{}", sentence);
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}
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Ok(())
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}
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