Struct SequenceClassificationConfig

pub struct SequenceClassificationConfig {
    pub model_type: ModelType,
    pub model_resource: ModelResource,
    pub config_resource: Box<dyn ResourceProvider + Send>,
    pub vocab_resource: Box<dyn ResourceProvider + Send>,
    pub merges_resource: Option<Box<dyn ResourceProvider + Send>>,
    pub lower_case: bool,
    pub strip_accents: Option<bool>,
    pub add_prefix_space: Option<bool>,
    pub device: Device,
    pub kind: Option<Kind>,
}

Configuration for SequenceClassificationModel

Contains information regarding the model to load and device to place the model on.

Fields

model_type: ModelType

Model type

model_resource: ModelResource

Model weights resource (default: pretrained BERT model on CoNLL)

config_resource: Box<dyn ResourceProvider + Send>

Config resource (default: pretrained BERT model on CoNLL)

vocab_resource: Box<dyn ResourceProvider + Send>

Vocab resource (default: pretrained BERT model on CoNLL)

merges_resource: Option<Box<dyn ResourceProvider + Send>>

Merges resource (default: None)

lower_case: bool

Automatically lower case all input upon tokenization (assumes a lower-cased model)

strip_accents: Option<bool>

Flag indicating if the tokenizer should strip accents (normalization). Only used for BERT / ALBERT models

add_prefix_space: Option<bool>

Flag indicating if the tokenizer should add a white space before each tokenized input (needed for some Roberta models)

device: Device

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

kind: Option<Kind>

Model weights precision. If not provided, will default to full precision on CPU, or the loaded weights precision otherwise

Implementations

impl SequenceClassificationConfig

pub fn new<RC, RV>( model_type: ModelType, model_resource: ModelResource, config_resource: RC, vocab_resource: RV, merges_resource: Option<RV>, lower_case: bool, strip_accents: impl Into<Option<bool>>, add_prefix_space: impl Into<Option<bool>>, ) -> SequenceClassificationConfig

where RC: ResourceProvider + Send + 'static, RV: ResourceProvider + Send + 'static,

Instantiate a new sequence classification configuration of the supplied type.

Arguments

• model_type - ModelType indicating the model type to load (must match with the actual data to be loaded!)
• model - The ResourceProvider pointing to the model to load (e.g. model.ot)
• config - The ResourceProvider pointing to the model configuration to load (e.g. config.json)
• vocab - The ResourceProvider pointing to the tokenizer’s vocabulary to load (e.g. vocab.txt/vocab.json)
• vocab - An optional ResourceProvider pointing to the tokenizer’s merge file to load (e.g. merges.txt), needed only for Roberta.
• lower_case - A bool indicating whether the tokenizer should lower case all input (in case of a lower-cased model)

Trait Implementations

impl Default for SequenceClassificationConfig

fn default() -> SequenceClassificationConfig

Provides a defaultSST-2 sentiment analysis model (English)