mirror of
https://github.com/guillaume-be/rust-bert.git
synced 2024-09-11 12:55:34 +03:00
84561ec82b
* Updates for compatibility with tokenizers special token rework * Updated mask pipline methods * Bumped version * Fix clippy warnings
63 lines
2.3 KiB
Rust
63 lines
2.3 KiB
Rust
// Copyright 2018 Mesh TensorFlow authors, T5 Authors and HuggingFace Inc. team.
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// Copyright 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::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 rust_bert::t5::{T5ConfigResources, T5ModelResources, T5VocabResources};
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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(T5ModelResources::T5_BASE);
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let config_resource = RemoteResource::from_pretrained(T5ConfigResources::T5_BASE);
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let vocab_resource = RemoteResource::from_pretrained(T5VocabResources::T5_BASE);
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let source_languages = [
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Language::English,
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Language::French,
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Language::German,
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Language::Romanian,
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];
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let target_languages = [
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Language::English,
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Language::French,
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Language::German,
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Language::Romanian,
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];
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let translation_config = TranslationConfig::new(
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ModelType::T5,
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model_resource,
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config_resource,
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vocab_resource,
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None,
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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::German)?);
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outputs.extend(model.translate(&[source_sentence], Language::English, Language::Romanian)?);
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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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