Module rust_bert::models::longt5

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LongT5 (Efficient Text-To-Text Transformer for Long Sequences)

Implementation of the LongT5 language model (LongT5: Efficient Text-To-Text Transformer for Long Sequences Guo, Ainslie, Uthus, Ontanon, Ni, Sung, Yang, 2021). The base model is implemented in the longt5_model::LongT5Model struct. This model includes a language model head: longt5_model::LongT5ForConditionalGeneration implementing the common generation_utils::LanguageGenerator trait shared between the models used for generation (see pipelines for more information).

Model set-up and pre-trained weights loading

All models expect the following resources:

  • Configuration file expected to have a structure following the Transformers library
  • Model weights are expected to have a structure and parameter names following the Transformers library. A conversion using the Python utility scripts is required to convert the .bin weights to the .ot format.
  • T5Tokenizer using a spiece.model sentence piece model

Pretrained models for a number of language pairs are available and can be downloaded using RemoteResources.

use tch::{nn, Device};
use rust_bert::longt5::{LongT5Config, LongT5ForConditionalGeneration};
use rust_bert::resources::{LocalResource, ResourceProvider};
use rust_bert::Config;
use rust_tokenizers::tokenizer::T5Tokenizer;

let config_resource = LocalResource {
    local_path: PathBuf::from("path/to/config.json"),
};
let sentence_piece_resource = LocalResource {
    local_path: PathBuf::from("path/to/spiece.model"),
};
let weights_resource = LocalResource {
    local_path: PathBuf::from("path/to/model.ot"),
};
let config_path = config_resource.get_local_path()?;
let spiece_path = sentence_piece_resource.get_local_path()?;
let weights_path = weights_resource.get_local_path()?;

let device = Device::cuda_if_available();
let mut vs = nn::VarStore::new(device);
let tokenizer = T5Tokenizer::from_file(spiece_path.to_str().unwrap(), true);
let config = LongT5Config::from_file(config_path);
let longt5_model = LongT5ForConditionalGeneration::new(&vs.root(), &config);
vs.load(weights_path)?;

Structs

Type Aliases