rust_bert::models::mbart

Struct MBartConfig

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pub struct MBartConfig {
Show 33 fields
    pub vocab_size: i64,
    pub max_position_embeddings: i64,
    pub encoder_layers: i64,
    pub encoder_attention_heads: i64,
    pub encoder_ffn_dim: i64,
    pub encoder_layerdrop: f64,
    pub decoder_layers: i64,
    pub decoder_ffn_dim: i64,
    pub decoder_attention_heads: i64,
    pub decoder_layerdrop: f64,
    pub is_encoder_decoder: Option<bool>,
    pub activation_function: Option<Activation>,
    pub d_model: i64,
    pub dropout: f64,
    pub activation_dropout: f64,
    pub attention_dropout: f64,
    pub classifier_dropout: Option<f64>,
    pub scale_embedding: Option<bool>,
    pub bos_token_id: Option<i64>,
    pub eos_token_id: Option<i64>,
    pub pad_token_id: Option<i64>,
    pub forced_bos_token_id: Option<i64>,
    pub forced_eos_token_id: Option<i64>,
    pub decoder_start_token_id: Option<i64>,
    pub id2label: Option<HashMap<i64, String>>,
    pub label2id: Option<HashMap<String, i64>>,
    pub init_std: f64,
    pub min_length: Option<i64>,
    pub no_repeat_ngram_size: Option<i64>,
    pub normalize_embedding: Option<bool>,
    pub output_attentions: Option<bool>,
    pub output_hidden_states: Option<bool>,
    pub output_past: Option<bool>,

}
Expand description

§MBART model configuration

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

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§vocab_size: i64§max_position_embeddings: i64§encoder_layers: i64§encoder_attention_heads: i64§encoder_ffn_dim: i64§encoder_layerdrop: f64§decoder_layers: i64§decoder_ffn_dim: i64§decoder_attention_heads: i64§decoder_layerdrop: f64§is_encoder_decoder: Option<bool>§activation_function: Option<Activation>§d_model: i64§dropout: f64§activation_dropout: f64§attention_dropout: f64§classifier_dropout: Option<f64>§scale_embedding: Option<bool>§bos_token_id: Option<i64>§eos_token_id: Option<i64>§pad_token_id: Option<i64>§forced_bos_token_id: Option<i64>§forced_eos_token_id: Option<i64>§decoder_start_token_id: Option<i64>§id2label: Option<HashMap<i64, String>>§label2id: Option<HashMap<String, i64>>§init_std: f64§min_length: Option<i64>§no_repeat_ngram_size: Option<i64>§normalize_embedding: Option<bool>§output_attentions: Option<bool>§output_hidden_states: Option<bool>§output_past: Option<bool>

Trait Implementations§

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impl Clone for MBartConfig

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fn clone(&self) -> MBartConfig

Returns a copy of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Config for MBartConfig

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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. Read more
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impl Debug for MBartConfig

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

Formats the value using the given formatter. Read more
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impl Default for MBartConfig

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fn default() -> Self

Returns the “default value” for a type. Read more
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impl<'de> Deserialize<'de> for MBartConfig

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

Deserialize this value from the given Serde deserializer. Read more
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impl Serialize for MBartConfig

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

Serialize this value into the given Serde serializer. Read more

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