// 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::pipelines::common::ModelType; use rust_bert::pipelines::text_generation::{TextGenerationConfig, TextGenerationModel}; use rust_bert::resources::RemoteResource; use rust_bert::xlnet::{XLNetConfigResources, XLNetModelResources, XLNetVocabResources}; fn main() -> anyhow::Result<()> { // Resources paths let config_resource = Box::new(RemoteResource::from_pretrained( XLNetConfigResources::XLNET_BASE_CASED, )); let vocab_resource = Box::new(RemoteResource::from_pretrained( XLNetVocabResources::XLNET_BASE_CASED, )); let model_resource = Box::new(RemoteResource::from_pretrained( XLNetModelResources::XLNET_BASE_CASED, )); let generate_config = TextGenerationConfig { model_type: ModelType::XLNet, model_resource, config_resource, vocab_resource, merges_resource: None, max_length: Some(32), do_sample: false, num_beams: 3, temperature: 1.0, num_return_sequences: 1, ..Default::default() }; let model = TextGenerationModel::new(generate_config)?; let input_context = "Once upon a time,"; let output = model.generate(&[input_context], None); for sentence in output { println!("{}", sentence); } Ok(()) }