rust-bert 0.5.3

// 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;
extern crate dirs;

use std::path::PathBuf;
use tch::Device;
use failure::err_msg;
use rust_bert::pipelines::ner::NERModel;


fn main() -> failure::Fallible<()> {
    //    Resources paths
    let mut home: PathBuf = dirs::home_dir().unwrap();
    home.push("rustbert");
    home.push("bert-ner");
    let config_path = &home.as_path().join("config.json");
    let vocab_path = &home.as_path().join("vocab.txt");
    let weights_path = &home.as_path().join("model.ot");

    if !config_path.is_file() | !vocab_path.is_file() | !weights_path.is_file() {
        return Err(
            err_msg("Could not find required resources to run example. \
                          Please run ../utils/download_dependencies_bert_ner.py \
                          in a Python environment with dependencies listed in ../requirements.txt"));
    }

//    Set-up model
    let device = Device::cuda_if_available();
    let ner_model = NERModel::new(vocab_path,
                                  config_path,
                                  weights_path, device)?;

//    Define input
    let input = [
        "My name is Amy. I live in Paris.",
        "Paris is a city in France."
    ];

//    Run model
    let output = ner_model.predict(&input);
    for entity in output {
        println!("{:?}", entity);
    }

    Ok(())
}