rust-bert/examples/ner.rs
2020-03-21 16:53:15 +01:00

57 lines
2.0 KiB
Rust

// 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(())
}