mirror of
https://github.com/guillaume-be/rust-bert.git
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64 lines
2.3 KiB
Rust
64 lines
2.3 KiB
Rust
// Copyright 2018-2020 The HuggingFace Inc. team.
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// Copyright 2020 Marian Team Authors
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// Copyright 2019-2020 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::marian::{
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MarianConfigResources, MarianModelResources, MarianSourceLanguages, MarianSpmResources,
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MarianTargetLanguages, MarianVocabResources,
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};
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use rust_bert::pipelines::common::ModelType;
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use rust_bert::pipelines::translation::{TranslationConfig, TranslationModel};
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use rust_bert::resources::{RemoteResource, Resource};
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use tch::Device;
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fn main() -> anyhow::Result<()> {
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let model_resource = Resource::Remote(RemoteResource::from_pretrained(
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MarianModelResources::ENGLISH2CHINESE,
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));
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let config_resource = Resource::Remote(RemoteResource::from_pretrained(
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MarianConfigResources::ENGLISH2CHINESE,
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));
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let vocab_resource = Resource::Remote(RemoteResource::from_pretrained(
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MarianVocabResources::ENGLISH2CHINESE,
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));
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let merges_resource = Resource::Remote(RemoteResource::from_pretrained(
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MarianSpmResources::ENGLISH2CHINESE,
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));
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let source_languages = MarianSourceLanguages::ENGLISH2CHINESE;
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let target_languages = MarianTargetLanguages::ENGLISH2CHINESE;
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let translation_config = TranslationConfig::new(
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ModelType::Marian,
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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 input_context_1 = "The quick brown fox jumps over the lazy dog";
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let input_context_2 = "The dog did not wake up";
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let output = model.translate(&[input_context_1, input_context_2], None, None)?;
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for sentence in output {
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println!("{}", sentence);
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}
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Ok(())
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}
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