Struct rust_bert::pipelines::translation::TranslationConfig

pub struct TranslationConfig {

    pub model_type: ModelType,
    pub model_resource: Box<dyn ResourceProvider + Send>,
    pub config_resource: Box<dyn ResourceProvider + Send>,
    pub vocab_resource: Box<dyn ResourceProvider + Send>,
    pub merges_resource: Box<dyn ResourceProvider + Send>,
    pub source_languages: HashSet<Language>,
    pub target_languages: HashSet<Language>,
    pub min_length: i64,
    pub max_length: i64,
    pub do_sample: bool,
    pub early_stopping: bool,
    pub num_beams: i64,
    pub temperature: f64,
    pub top_k: i64,
    pub top_p: f64,
    pub repetition_penalty: f64,
    pub length_penalty: f64,
    pub no_repeat_ngram_size: i64,
    pub num_return_sequences: i64,
    pub device: Device,
    pub num_beam_groups: Option<i64>,
    pub diversity_penalty: Option<f64>,
}

Configuration for text translation

Contains information regarding the model to load, mirrors the GenerationConfig, with a different set of default parameters and sets the device to place the model on.

Fields

model_type: ModelType

Model type used for translation

model_resource: Box<dyn ResourceProvider + Send>

Model weights resource

config_resource: Box<dyn ResourceProvider + Send>

Config resource

vocab_resource: Box<dyn ResourceProvider + Send>

Vocab resource

merges_resource: Box<dyn ResourceProvider + Send>

Merges resource

source_languages: HashSet<Language>

Supported source languages

target_languages: HashSet<Language>

Supported target languages

min_length: i64

Minimum sequence length (default: 0)

max_length: i64

Maximum sequence length (default: 20)

do_sample: bool

Sampling flag. If true, will perform top-k and/or nucleus sampling on generated tokens, otherwise greedy (deterministic) decoding (default: true)

early_stopping: bool

Early stopping flag indicating if the beam search should stop as soon as num_beam hypotheses have been generated (default: false)

num_beams: i64

Number of beams for beam search (default: 5)

temperature: f64

Temperature setting. Values higher than 1 will improve originality at the risk of reducing relevance (default: 1.0)

top_k: i64

Top_k values for sampling tokens. Value higher than 0 will enable the feature (default: 0)

top_p: f64

Top_p value for Nucleus sampling, Holtzman et al.. Keep top tokens until cumulative probability reaches top_p (default: 0.9)

repetition_penalty: f64

Repetition penalty (mostly useful for CTRL decoders). Values higher than 1 will penalize tokens that have been already generated. (default: 1.0)

length_penalty: f64

Exponential penalty based on the length of the hypotheses generated (default: 1.0)

no_repeat_ngram_size: i64

Number of allowed repetitions of n-grams. Values higher than 0 turn on this feature (default: 3)

num_return_sequences: i64

Number of sequences to return for each prompt text (default: 1)

device: Device

Device to place the model on (default: CUDA/GPU when available)

num_beam_groups: Option<i64>

Number of beam groups for diverse beam generation. If provided and higher than 1, will split the beams into beam subgroups leading to more diverse generation.

diversity_penalty: Option<f64>

Diversity penalty for diverse beam search. High values will enforce more difference between beam groups (default: 5.5)

Implementations

impl TranslationConfig

pub fn new<R, S, T>(
    model_type: ModelType,
    model_resource: R,
    config_resource: R,
    vocab_resource: R,
    merges_resource: R,
    source_languages: S,
    target_languages: T,
    device: impl Into<Option<Device>>
) -> TranslationConfig where
    R: ResourceProvider + Send + 'static,
    S: AsRef<[Language]>,
    T: AsRef<[Language]>, 

Create a new TranslationConfiguration from an available language.

Arguments

• language - Language enum value (e.g. Language::EnglishToFrench)
• device - Device to place the model on (CPU/GPU)

Example

use rust_bert::marian::{
    MarianConfigResources, MarianModelResources, MarianSourceLanguages, MarianTargetLanguages,
    MarianVocabResources,
};
use rust_bert::pipelines::common::ModelType;
use rust_bert::pipelines::translation::TranslationConfig;
use rust_bert::resources::RemoteResource;
use tch::Device;

let model_resource = RemoteResource::from_pretrained(MarianModelResources::ROMANCE2ENGLISH);
let config_resource = RemoteResource::from_pretrained(MarianConfigResources::ROMANCE2ENGLISH);
let vocab_resource = RemoteResource::from_pretrained(MarianVocabResources::ROMANCE2ENGLISH);

let source_languages = MarianSourceLanguages::ROMANCE2ENGLISH;
let target_languages = MarianTargetLanguages::ROMANCE2ENGLISH;

let translation_config = TranslationConfig::new(
    ModelType::Marian,
    model_resource,
    config_resource,
    vocab_resource.clone(),
    vocab_resource,
    source_languages,
    target_languages,
    Device::cuda_if_available(),
);

Trait Implementations

impl From<TranslationConfig> for GenerateConfig

fn from(config: TranslationConfig) -> GenerateConfig

Converts to this type from the input type.