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CandleEmbeddingModel

uni_xervo::provider::candle

Struct CandleEmbeddingModel 

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pub struct CandleEmbeddingModel { /* private fields */ }
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A lazily-loaded embedding model backed by Candle.

On first embed call (or explicit warmup), the model weights and tokenizer are downloaded from HuggingFace Hub and loaded into memory.

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impl CandleEmbeddingModel

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pub fn new( model_type: CandleTextModel, revision: Option<String>, cache_dir: PathBuf, ) -> Self

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impl EmbeddingModel for CandleEmbeddingModel

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fn embed<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, texts: &'life1 [&'life2 str], ) -> Pin<Box<dyn Future<Output = Result<EmbedResult>> + Send + 'async_trait>>
where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait, 'life2: 'async_trait,

Embed a batch of text strings into dense vectors. Read more
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fn dimensions(&self) -> u32

The dimensionality of the embedding vectors produced by this model.
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fn warmup<'life0, 'async_trait>( &'life0 self, ) -> Pin<Box<dyn Future<Output = Result<()>> + Send + 'async_trait>>
where Self: 'async_trait, 'life0: 'async_trait,

Optional warmup hook (e.g. load weights into memory on first access). The default is a no-op.
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impl ModelInfo for CandleEmbeddingModel

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fn model_id(&self) -> &str

The underlying model identifier (e.g. a HuggingFace repo ID or API model name).
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fn active_execution_providers(&self) -> Vec<String>

Names of the ONNX Runtime execution providers this session was built with, in priority order. Empty for remote and non-ONNX models. Read more

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