Struct BartConfig

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pub struct BartConfig {
Show 37 fields 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 forced_bos_token_id: Option<i64>, pub forced_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,
}
Expand description

§BART model configuration

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

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§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>§forced_bos_token_id: Option<i64>§forced_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§

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impl Clone for BartConfig

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fn clone(&self) -> BartConfig

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 BartConfig

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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 BartConfig

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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 BartConfig

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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 BartConfig

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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 BartConfig

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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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