mirror of
https://github.com/guillaume-be/rust-bert.git
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49 lines
1.8 KiB
Rust
49 lines
1.8 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::generation_utils::{GenerateConfig, LanguageGenerator};
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use rust_bert::resources::{RemoteResource, Resource};
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use rust_bert::t5::{T5ConfigResources, T5Generator, T5ModelResources, T5VocabResources};
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fn main() -> anyhow::Result<()> {
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// Resources paths
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let config_resource =
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Resource::Remote(RemoteResource::from_pretrained(T5ConfigResources::T5_BASE));
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let vocab_resource =
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Resource::Remote(RemoteResource::from_pretrained(T5VocabResources::T5_BASE));
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let weights_resource =
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Resource::Remote(RemoteResource::from_pretrained(T5ModelResources::T5_BASE));
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let generate_config = GenerateConfig {
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model_resource: weights_resource,
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vocab_resource,
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config_resource,
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max_length: 40,
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do_sample: false,
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num_beams: 4,
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..Default::default()
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};
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// Set-up model
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let t5_model = T5Generator::new(generate_config)?;
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// Define input
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let input = ["translate English to German: This sentence will get translated to German"];
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let output = t5_model.generate(Some(input.to_vec()), None, None, None, None, None, None);
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println!("{:?}", output);
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Ok(())
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}
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