Struct rust_bert::prophetnet::ProphetNetConfig[][src]

pub struct ProphetNetConfig {
Show 34 fields pub activation_function: Activation, pub activation_dropout: f64, pub attention_dropout: f64, pub decoder_ffn_dim: i64, pub decoder_layerdrop: f64, pub decoder_max_position_embeddings: i64, pub decoder_start_token_id: i64, pub disable_ngram_loss: bool, pub dropout: f64, pub encoder_ffn_dim: i64, pub encoder_layerdrop: f64, pub encoder_max_position_embeddings: i64, pub eps: f64, pub hidden_size: i64, pub init_std: f64, pub is_encoder_decoder: bool, pub max_position_embeddings: i64, pub bos_token_id: i64, pub eos_token_id: i64, pub ngram: i64, pub id2label: Option<HashMap<i64, String>>, pub label2id: Option<HashMap<String, i64>>, pub num_buckets: i64, pub num_decoder_attention_heads: i64, pub num_decoder_layers: i64, pub num_encoder_attention_heads: i64, pub num_encoder_layers: i64, pub output_past: Option<bool>, pub pad_token_id: i64, pub relative_max_distance: i64, pub vocab_size: i64, pub output_attentions: Option<bool>, pub output_hidden_states: Option<bool>, pub add_cross_attention: Option<bool>,
}
Expand description

ProphetNet model configuration

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

Fields

activation_function: Activationactivation_dropout: f64attention_dropout: f64decoder_ffn_dim: i64decoder_layerdrop: f64decoder_max_position_embeddings: i64decoder_start_token_id: i64disable_ngram_loss: booldropout: f64encoder_ffn_dim: i64encoder_layerdrop: f64encoder_max_position_embeddings: i64eps: f64hidden_size: i64init_std: f64is_encoder_decoder: boolmax_position_embeddings: i64bos_token_id: i64eos_token_id: i64ngram: i64id2label: Option<HashMap<i64, String>>label2id: Option<HashMap<String, i64>>num_buckets: i64num_decoder_attention_heads: i64num_decoder_layers: i64num_encoder_attention_heads: i64num_encoder_layers: i64output_past: Option<bool>pad_token_id: i64relative_max_distance: i64vocab_size: i64output_attentions: Option<bool>output_hidden_states: Option<bool>add_cross_attention: Option<bool>

Trait Implementations

Returns a copy of the value. Read more

Performs copy-assignment from source. Read more

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

Formats the value using the given formatter. Read more

Deserialize this value from the given Serde deserializer. Read more

Serialize this value into the given Serde serializer. Read more

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