Struct rust_bert::xlnet::XLNetConfig

pub struct XLNetConfig {

    pub vocab_size: i64,
    pub d_model: i64,
    pub n_layer: i64,
    pub d_head: i64,
    pub n_head: i64,
    pub d_inner: i64,
    pub ff_activation: Activation,
    pub untie_r: bool,
    pub attn_type: AttentionType,
    pub initializer_range: f32,
    pub layer_norm_eps: Option<f64>,
    pub dropout: f64,
    pub mem_len: Option<i64>,
    pub reuse_len: Option<i64>,
    pub clamp_len: Option<i64>,
    pub bi_data: bool,
    pub same_length: bool,
    pub summary_type: Option<SummaryType>,
    pub summary_use_proj: Option<bool>,
    pub summary_activation: Option<Activation>,
    pub summary_proj_to_labels: Option<bool>,
    pub summary_first_dropout: Option<f64>,
    pub summary_last_dropout: Option<f64>,
    pub start_n_top: Option<i64>,
    pub end_n_top: Option<i64>,
    pub use_cache: Option<bool>,
    pub bos_token_id: i64,
    pub eos_token_id: i64,
    pub pad_token_id: i64,
    pub id2label: Option<HashMap<i64, String>>,
    pub label2id: Option<HashMap<String, i64>>,
    pub output_attentions: Option<bool>,
    pub output_hidden_states: Option<bool>,
    pub chunk_size_feed_forward: Option<i64>,
}

XLNet model configuration

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

Fields

vocab_size: i64

d_model: i64

n_layer: i64

d_head: i64

n_head: i64

d_inner: i64

ff_activation: Activation

untie_r: bool

attn_type: AttentionType

initializer_range: f32

layer_norm_eps: Option<f64>

dropout: f64

mem_len: Option<i64>

reuse_len: Option<i64>

clamp_len: Option<i64>

bi_data: bool

same_length: bool

summary_type: Option<SummaryType>

summary_use_proj: Option<bool>

summary_activation: Option<Activation>

summary_proj_to_labels: Option<bool>

summary_first_dropout: Option<f64>

summary_last_dropout: Option<f64>

start_n_top: Option<i64>

end_n_top: Option<i64>

use_cache: Option<bool>

bos_token_id: i64

eos_token_id: i64

pad_token_id: i64

id2label: Option<HashMap<i64, String>>

label2id: Option<HashMap<String, i64>>

output_attentions: Option<bool>

output_hidden_states: Option<bool>

chunk_size_feed_forward: Option<i64>

Trait Implementations

impl Clone for XLNetConfig

fn clone(&self) -> XLNetConfig

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Config for XLNetConfig

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 XLNetConfig

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for XLNetConfig

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

Deserialize this value from the given Serde deserializer.

impl Serialize for XLNetConfig

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

Serialize this value into the given Serde serializer.