rust_bert::pipelines::sentence_embeddings

Struct SentenceEmbeddingsConfig

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pub struct SentenceEmbeddingsConfig {
Show 13 fields
    pub modules_config_resource: Box<dyn ResourceProvider + Send>,
    pub transformer_type: ModelType,
    pub transformer_config_resource: Box<dyn ResourceProvider + Send>,
    pub transformer_weights_resource: Box<dyn ResourceProvider + Send>,
    pub pooling_config_resource: Box<dyn ResourceProvider + Send>,
    pub dense_config_resource: Option<Box<dyn ResourceProvider + Send>>,
    pub dense_weights_resource: Option<Box<dyn ResourceProvider + Send>>,
    pub sentence_bert_config_resource: Box<dyn ResourceProvider + Send>,
    pub tokenizer_config_resource: Box<dyn ResourceProvider + Send>,
    pub tokenizer_vocab_resource: Box<dyn ResourceProvider + Send>,
    pub tokenizer_merges_resource: Option<Box<dyn ResourceProvider + Send>>,
    pub device: Device,
    pub kind: Option<Kind>,

}
Expand description

§Configuration for sentence embeddings

Contains information regarding the transformer model to load, the optional extra layers, and device to place the model on.

Fields§

§modules_config_resource: Box<dyn ResourceProvider + Send>

Modules configuration resource, contains layers definition

§transformer_type: ModelType

Transformer model type

§transformer_config_resource: Box<dyn ResourceProvider + Send>

Transformer model configuration resource

§transformer_weights_resource: Box<dyn ResourceProvider + Send>

Transformer weights resource

§pooling_config_resource: Box<dyn ResourceProvider + Send>

Pooling layer configuration resource

§dense_config_resource: Option<Box<dyn ResourceProvider + Send>>

Optional dense layer configuration resource

§dense_weights_resource: Option<Box<dyn ResourceProvider + Send>>

Optional dense layer weights resource

§sentence_bert_config_resource: Box<dyn ResourceProvider + Send>

Sentence BERT specific configuration resource

§tokenizer_config_resource: Box<dyn ResourceProvider + Send>

Transformer’s tokenizer configuration resource

§tokenizer_vocab_resource: Box<dyn ResourceProvider + Send>

Transformer’s tokenizer vocab resource

§tokenizer_merges_resource: Option<Box<dyn ResourceProvider + Send>>

Optional transformer’s tokenizer merges resource

§device: Device

Device to place the transformer model on

§kind: Option<Kind>

Model weights precision. If not provided, will default to full precision on CPU, or the loaded weights precision otherwise

Trait Implementations§

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impl From<SentenceEmbeddingsModelType> for SentenceEmbeddingsConfig

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fn from(model_type: SentenceEmbeddingsModelType) -> Self

Converts to this type from the input type.

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