rust-bert/examples/named_entities_recognition.rs
guillaume-be 84561ec82b
Tokenizer special token map update (#330)
* Updates for compatibility with tokenizers special token rework

* Updated mask pipline methods

* Bumped version

* Fix clippy warnings
2023-01-30 17:53:18 +00:00

36 lines
1.2 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 anyhow;
use rust_bert::pipelines::ner::NERModel;
fn main() -> anyhow::Result<()> {
// Set-up model
let ner_model = NERModel::new(Default::default())?;
// Define input
let input = [
"My name is Amélie. I live in Москва.",
"Chongqing is a city in China.",
"Asked John Smith about Acme Corp",
];
// Run model
let output = ner_model.predict_full_entities(&input);
for entity in output {
println!("{entity:?}");
}
Ok(())
}