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https://github.com/guillaume-be/rust-bert.git
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61 lines
2.2 KiB
Rust
61 lines
2.2 KiB
Rust
// Copyright 2018 Google AI and Google Brain team.
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// Copyright 2018 Carnegie Mellon University Authors.
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// Copyright 2020-present, the 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::text_generation::{TextGenerationConfig, TextGenerationModel};
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use rust_bert::resources::{RemoteResource, Resource};
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use rust_bert::xlnet::{XLNetConfigResources, XLNetModelResources, XLNetVocabResources};
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fn main() -> anyhow::Result<()> {
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// Set-up model
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// Resources paths
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let config_resource = Resource::Remote(RemoteResource::from_pretrained(
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XLNetConfigResources::XLNET_BASE_CASED,
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));
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let vocab_resource = Resource::Remote(RemoteResource::from_pretrained(
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XLNetVocabResources::XLNET_BASE_CASED,
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));
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let merges_resource = Resource::Remote(RemoteResource::from_pretrained(
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XLNetVocabResources::XLNET_BASE_CASED,
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));
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let model_resource = Resource::Remote(RemoteResource::from_pretrained(
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XLNetModelResources::XLNET_BASE_CASED,
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));
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let generate_config = TextGenerationConfig {
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model_type: ModelType::XLNet,
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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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max_length: 32,
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do_sample: true,
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num_beams: 3,
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temperature: 1.0,
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num_return_sequences: 1,
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..Default::default()
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};
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let model = TextGenerationModel::new(generate_config)?;
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let input_context = "Once upon a time,";
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let output = model.generate(&[input_context], 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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