Struct rust_bert::bart::BartConfig

pub struct BartConfig {

    pub num_labels: Option<i64>,
    pub activation_function: Option<Activation>,
    pub activation_dropout: f64,
    pub attention_dropout: f64,
    pub classif_dropout: Option<f64>,
    pub d_model: i64,
    pub decoder_attention_heads: i64,
    pub decoder_ffn_dim: i64,
    pub decoder_layerdrop: f64,
    pub decoder_layers: i64,
    pub decoder_start_token_id: Option<i64>,
    pub dropout: f64,
    pub encoder_attention_heads: i64,
    pub encoder_ffn_dim: i64,
    pub encoder_layerdrop: f64,
    pub encoder_layers: i64,
    pub bos_token_id: Option<i64>,
    pub eos_token_id: Option<i64>,
    pub pad_token_id: Option<i64>,
    pub id2label: Option<HashMap<i64, String>>,
    pub label2id: Option<HashMap<String, i64>>,
    pub init_std: f64,
    pub is_decoder: Option<bool>,
    pub is_encoder_decoder: Option<bool>,
    pub max_position_embeddings: i64,
    pub min_length: Option<i64>,
    pub no_repeat_ngram_size: Option<i64>,
    pub normalize_embedding: Option<bool>,
    pub num_hidden_layers: i64,
    pub output_attentions: Option<bool>,
    pub output_hidden_states: Option<bool>,
    pub output_past: Option<bool>,
    pub static_position_embeddings: Option<bool>,
    pub scale_embedding: Option<bool>,
    pub vocab_size: i64,
}

BART model configuration

Defines the BART model architecture (e.g. number of layers, hidden layer size, label mapping…)

Fields

num_labels: Option<i64>

activation_function: Option<Activation>

activation_dropout: f64

attention_dropout: f64

classif_dropout: Option<f64>

d_model: i64

decoder_attention_heads: i64

decoder_ffn_dim: i64

decoder_layerdrop: f64

decoder_layers: i64

decoder_start_token_id: Option<i64>

dropout: f64

encoder_attention_heads: i64

encoder_ffn_dim: i64

encoder_layerdrop: f64

encoder_layers: i64

bos_token_id: Option<i64>

eos_token_id: Option<i64>

pad_token_id: Option<i64>

id2label: Option<HashMap<i64, String>>

label2id: Option<HashMap<String, i64>>

init_std: f64

is_decoder: Option<bool>

is_encoder_decoder: Option<bool>

max_position_embeddings: i64

min_length: Option<i64>

no_repeat_ngram_size: Option<i64>

normalize_embedding: Option<bool>

num_hidden_layers: i64

output_attentions: Option<bool>

output_hidden_states: Option<bool>

output_past: Option<bool>

static_position_embeddings: Option<bool>

scale_embedding: Option<bool>

vocab_size: i64

Trait Implementations

impl Clone for BartConfig

fn clone(&self) -> BartConfig

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Config for BartConfig

fn from_file<P: AsRef<Path>>(path: P) -> Self

Loads a Config object from a JSON file. The format is expected to be aligned with the Transformers library configuration files for each model. The parsing will fail if non-optional keys expected by the model are missing.

impl Debug for BartConfig

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for BartConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for BartConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.

impl Serialize for BartConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
    __S: Serializer, 

Serialize this value into the given Serde serializer.