rust_bert::models::deberta_v2

Struct DebertaV2Config

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pub struct DebertaV2Config {
Show 35 fields
    pub vocab_size: i64,
    pub hidden_size: i64,
    pub num_hidden_layers: i64,
    pub hidden_act: Activation,
    pub attention_probs_dropout_prob: f64,
    pub hidden_dropout_prob: f64,
    pub initializer_range: f64,
    pub intermediate_size: i64,
    pub max_position_embeddings: i64,
    pub position_buckets: Option<i64>,
    pub num_attention_heads: i64,
    pub type_vocab_size: i64,
    pub position_biased_input: Option<bool>,
    pub pos_att_type: Option<PositionAttentionTypes>,
    pub norm_rel_ebd: Option<NormRelEmbedTypes>,
    pub share_att_key: Option<bool>,
    pub conv_kernel_size: Option<i64>,
    pub conv_groups: Option<i64>,
    pub conv_act: Option<Activation>,
    pub pooler_dropout: Option<f64>,
    pub pooler_hidden_act: Option<Activation>,
    pub pooler_hidden_size: Option<i64>,
    pub layer_norm_eps: Option<f64>,
    pub pad_token_id: Option<i64>,
    pub relative_attention: Option<bool>,
    pub max_relative_positions: Option<i64>,
    pub embedding_size: Option<i64>,
    pub talking_head: Option<bool>,
    pub output_hidden_states: Option<bool>,
    pub output_attentions: Option<bool>,
    pub classifier_activation: Option<bool>,
    pub classifier_dropout: Option<f64>,
    pub is_decoder: Option<bool>,
    pub id2label: Option<HashMap<i64, String>>,
    pub label2id: Option<HashMap<String, i64>>,

}
Expand description

§DeBERTa (v2) model configuration

Defines the DeBERTa (v2) model architecture (e.g. number of layers, hidden layer size, label mapping…)

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§vocab_size: i64§hidden_size: i64§num_hidden_layers: i64§hidden_act: Activation§attention_probs_dropout_prob: f64§hidden_dropout_prob: f64§initializer_range: f64§intermediate_size: i64§max_position_embeddings: i64§position_buckets: Option<i64>§num_attention_heads: i64§type_vocab_size: i64§position_biased_input: Option<bool>§pos_att_type: Option<PositionAttentionTypes>§norm_rel_ebd: Option<NormRelEmbedTypes>§share_att_key: Option<bool>§conv_kernel_size: Option<i64>§conv_groups: Option<i64>§conv_act: Option<Activation>§pooler_dropout: Option<f64>§pooler_hidden_act: Option<Activation>§pooler_hidden_size: Option<i64>§layer_norm_eps: Option<f64>§pad_token_id: Option<i64>§relative_attention: Option<bool>§max_relative_positions: Option<i64>§embedding_size: Option<i64>§talking_head: Option<bool>§output_hidden_states: Option<bool>§output_attentions: Option<bool>§classifier_activation: Option<bool>§classifier_dropout: Option<f64>§is_decoder: Option<bool>§id2label: Option<HashMap<i64, String>>§label2id: Option<HashMap<String, i64>>

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impl Config for DebertaV2Config

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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 DebertaV2Config

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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 DebertaV2Config

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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 DebertaV2Config

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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 From<&DebertaV2Config> for DebertaConfig

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fn from(v2_config: &DebertaV2Config) -> Self

Converts to this type from the input type.
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impl From<DebertaV2Config> for DebertaConfig

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fn from(v2_config: DebertaV2Config) -> Self

Converts to this type from the input type.
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impl Serialize for DebertaV2Config

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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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