rust-bert 0.7.9

Ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Documentation 
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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 failure;

use rust_bert::pipelines::generation::{GPT2Generator, GenerateConfig, LanguageGenerator};

fn main() -> failure::Fallible<()> {
    //    Set-up masked LM model
    let generate_config = GenerateConfig {
        max_length: 30,
        do_sample: true,
        num_beams: 5,
        temperature: 1.1,
        num_return_sequences: 3,
        ..Default::default()
    };
    let model = GPT2Generator::new(generate_config)?;

    let input_context = "The dog";
    let second_input_context = "The cat was";
    let output = model.generate(Some(vec![input_context, second_input_context]), None);

    for sentence in output {
        println!("{:?}", sentence);
    }
    Ok(())
}