guillaume-be/rust-bert
1
1
Fork 0
mirror of https://github.com/guillaume-be/rust-bert.git synced 2024-08-16 16:10:25 +03:00
Code Issues Packages Projects Releases Wiki Activity

Updated Marian translation example

Browse Source
This commit is contained in:
Guillaume B 2021-07-07 15:54:28 +02:00
parent e0bfd71a33
commit 85c05cbe13
1 changed files with 34 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

38
examples/translation_marian.rs
View File

@ -13,18 +13,48 @@
extern crate anyhow;
use rust_bert::pipelines::translation::{OldLanguage, TranslationConfig, TranslationModel};
use rust_bert::marian::{
MarianConfigResources, MarianModelResources, MarianSourceLanguages, MarianSpmResources,
MarianTargetLanguages, MarianVocabResources,
};
use rust_bert::pipelines::common::ModelType;
use rust_bert::pipelines::translation::{TranslationConfig, TranslationModel};
use rust_bert::resources::{RemoteResource, Resource};
use tch::Device;
fn main() -> anyhow::Result<()> {
let translation_config =
TranslationConfig::new(OldLanguage::EnglishToGerman, Device::cuda_if_available());
let model_resource = Resource::Remote(RemoteResource::from_pretrained(
MarianModelResources::ENGLISH2CHINESE,
));
let config_resource = Resource::Remote(RemoteResource::from_pretrained(
MarianConfigResources::ENGLISH2CHINESE,
));
let vocab_resource = Resource::Remote(RemoteResource::from_pretrained(
MarianVocabResources::ENGLISH2CHINESE,
));
let merges_resource = Resource::Remote(RemoteResource::from_pretrained(
MarianSpmResources::ENGLISH2CHINESE,
));
let source_languages = MarianSourceLanguages::ENGLISH2CHINESE;
let target_languages = MarianTargetLanguages::ENGLISH2CHINESE;
let translation_config = TranslationConfig::new(
ModelType::Marian,
model_resource,
config_resource,
vocab_resource,
merges_resource,
source_languages,
target_languages,
Device::cuda_if_available(),
);
let model = TranslationModel::new(translation_config)?;
let input_context_1 = "The quick brown fox jumps over the lazy dog";
let input_context_2 = "The dog did not wake up";
let output = model.translate(&[input_context_1, input_context_2]);
let output = model.translate(&[input_context_1, input_context_2], None, None)?;
for sentence in output {
println!("{}", sentence);