2023-08-13 13:09:02 +03:00
|
|
|
// 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::common::{ModelType, TokenizerOption};
|
|
|
|
use rust_bert::pipelines::text_generation::{TextGenerationConfig, TextGenerationModel};
|
|
|
|
use rust_bert::resources::{RemoteResource, ResourceProvider};
|
|
|
|
use std::fs::File;
|
|
|
|
use std::io::Write;
|
|
|
|
use tempfile::TempDir;
|
|
|
|
|
|
|
|
fn main() -> anyhow::Result<()> {
|
|
|
|
// Set-up model
|
|
|
|
let generate_config = TextGenerationConfig {
|
|
|
|
model_type: ModelType::GPT2,
|
|
|
|
max_length: Some(30),
|
|
|
|
do_sample: false,
|
|
|
|
num_beams: 1,
|
|
|
|
temperature: 1.0,
|
|
|
|
num_return_sequences: 1,
|
|
|
|
..Default::default()
|
|
|
|
};
|
|
|
|
|
|
|
|
// Create tokenizer
|
|
|
|
let tmp_dir = TempDir::new()?;
|
|
|
|
let special_token_map_path = tmp_dir.path().join("special_token_map.json");
|
|
|
|
let mut tmp_file = File::create(&special_token_map_path)?;
|
|
|
|
writeln!(
|
|
|
|
tmp_file,
|
|
|
|
r#"{{"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}}"#
|
|
|
|
)?;
|
|
|
|
|
|
|
|
let tokenizer_path = RemoteResource::from_pretrained((
|
|
|
|
"gpt2/tokenizer",
|
|
|
|
"https://huggingface.co/gpt2/resolve/main/tokenizer.json",
|
|
|
|
))
|
|
|
|
.get_local_path()?;
|
|
|
|
let tokenizer =
|
|
|
|
TokenizerOption::from_hf_tokenizer_file(tokenizer_path, special_token_map_path)?;
|
|
|
|
|
|
|
|
let model = TextGenerationModel::new_with_tokenizer(generate_config, tokenizer)?;
|
|
|
|
|
|
|
|
let input_context = "The dog";
|
|
|
|
// let second_input_context = "The cat was";
|
2023-12-04 20:58:21 +03:00
|
|
|
let output = model.generate(&[input_context], None)?;
|
2023-08-13 13:09:02 +03:00
|
|
|
|
|
|
|
for sentence in output {
|
|
|
|
println!("{sentence:?}");
|
|
|
|
}
|
|
|
|
Ok(())
|
|
|
|
}
|