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// Copyright 2019-present, the HuggingFace Inc. team, The Google AI Language Team and Facebook, Inc.
// Copyright 2019 Guillaume Becquin
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
// http://www.apache.org/licenses/LICENSE-2.0
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
extern crate anyhow;
use rust_bert::pipelines::common::ModelType;
use rust_bert::pipelines::text_generation::{TextGenerationConfig, TextGenerationModel};
fn main() -> anyhow::Result<()> {
// Set-up model
let generate_config = TextGenerationConfig {
model_type: ModelType::GPT2,
max_length: Some(30),
do_sample: false,
num_beams: 1,
temperature: 1.0,
num_return_sequences: 1,
..Default::default()
};
let model = TextGenerationModel::new(generate_config)?;
let input_context = "The dog";
// let second_input_context = "The cat was";
let output = model.generate(&[input_context], None)?;
for sentence in output {
println!("{sentence:?}");
}
Ok(())
}