rust-bert 0.23.0

Ready-to-use NLP pipelines and language models
Documentation 
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// Copyright 2018 Google AI and Google Brain team.
// Copyright 2018 Carnegie Mellon University Authors.
// Copyright 2020-present, the HuggingFace Inc. team.
// Copyright 2020 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::gpt_neo::{
    GptNeoConfigResources, GptNeoMergesResources, GptNeoModelResources, GptNeoVocabResources,
};
use rust_bert::pipelines::common::{ModelResource, ModelType};
use rust_bert::pipelines::text_generation::{TextGenerationConfig, TextGenerationModel};
use rust_bert::resources::RemoteResource;
use tch::Device;

fn main() -> anyhow::Result<()> {
    //    Set-up model resources
    let config_resource = Box::new(RemoteResource::from_pretrained(
        GptNeoConfigResources::GPT_NEO_125M,
    ));
    let vocab_resource = Box::new(RemoteResource::from_pretrained(
        GptNeoVocabResources::GPT_NEO_125M,
    ));
    let merges_resource = Box::new(RemoteResource::from_pretrained(
        GptNeoMergesResources::GPT_NEO_125M,
    ));
    let model_resource = Box::new(RemoteResource::from_pretrained(
        GptNeoModelResources::GPT_NEO_125M,
    ));
    let generate_config = TextGenerationConfig {
        model_type: ModelType::GPTNeo,
        model_resource: ModelResource::Torch(model_resource),
        config_resource,
        vocab_resource,
        merges_resource: Some(merges_resource),
        min_length: 10,
        max_length: Some(32),
        do_sample: false,
        early_stopping: true,
        num_beams: 4,
        num_return_sequences: 1,
        device: Device::Cpu,
        ..Default::default()
    };

    let mut model = TextGenerationModel::new(generate_config)?;
    model.set_device(Device::cuda_if_available())?;

    let input_context_1 = "It was a very nice and sunny";
    let input_context_2 = "It was a gloom winter night, and";
    let output = model.generate(&[input_context_1, input_context_2], None)?;

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