Struct rust_bert::mobilebert::MobileBertConfig[][src]

pub struct MobileBertConfig {
Show 27 fields pub hidden_act: Activation, pub attention_probs_dropout_prob: f64, pub hidden_dropout_prob: f64, pub hidden_size: i64, pub initializer_range: f64, pub intermediate_size: i64, pub max_position_embeddings: i64, pub num_attention_heads: i64, pub num_hidden_layers: i64, pub type_vocab_size: i64, pub vocab_size: i64, pub embedding_size: i64, pub layer_norm_eps: Option<f64>, pub pad_token_idx: Option<i64>, pub trigram_input: Option<bool>, pub use_bottleneck: Option<bool>, pub use_bottleneck_attention: Option<bool>, pub intra_bottleneck_size: Option<i64>, pub key_query_shared_bottleneck: Option<bool>, pub num_feedforward_networks: Option<i64>, pub normalization_type: Option<NormalizationType>, pub output_attentions: Option<bool>, pub output_hidden_states: Option<bool>, pub classifier_activation: Option<bool>, pub is_decoder: Option<bool>, pub id2label: Option<HashMap<i64, String>>, pub label2id: Option<HashMap<String, i64>>,
}
Expand description

MobileBERT model configuration

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

Fields

hidden_act: Activationattention_probs_dropout_prob: f64hidden_dropout_prob: f64hidden_size: i64initializer_range: f64intermediate_size: i64max_position_embeddings: i64num_attention_heads: i64num_hidden_layers: i64type_vocab_size: i64vocab_size: i64embedding_size: i64layer_norm_eps: Option<f64>pad_token_idx: Option<i64>trigram_input: Option<bool>use_bottleneck: Option<bool>use_bottleneck_attention: Option<bool>intra_bottleneck_size: Option<i64>key_query_shared_bottleneck: Option<bool>num_feedforward_networks: Option<i64>normalization_type: Option<NormalizationType>output_attentions: Option<bool>output_hidden_states: Option<bool>classifier_activation: Option<bool>is_decoder: Option<bool>id2label: Option<HashMap<i64, String>>label2id: Option<HashMap<String, i64>>

Trait Implementations

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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