Struct ALBERTNER 

pub struct ALBERTNER { /* private fields */ }

ALBERT NER backend using ONNX Runtime.

Currently wraps BertNEROnnx with ALBERT model support. ALBERT models use the same ONNX interface as BERT.

Implementations

impl ALBERTNER

pub fn new(model_name: &str) -> Result<ALBERTNER, Error>

Create a new ALBERT NER model.

Arguments

• model_name - HuggingFace model ID (e.g., “albert-base-v2”)

Trait Implementations

impl BatchCapable for ALBERTNER

fn extract_entities_batch( &self, texts: &[&str], language: Option<&str>, ) -> Result<Vec<Vec<Entity>>, Error>

Extract entities from multiple texts in a batch.

fn optimal_batch_size(&self) -> Option<usize>

Get the optimal batch size for this model, if applicable.

impl Model for ALBERTNER

fn extract_entities( &self, text: &str, language: Option<&str>, ) -> Result<Vec<Entity>, Error>

Extract entities from text.

fn supported_types(&self) -> Vec<EntityType>

Get supported entity types.

fn is_available(&self) -> bool

Check if model is available and ready.

fn name(&self) -> &'static str

Get the model name/identifier.

fn description(&self) -> &'static str

Get a description of the model.

fn capabilities(&self) -> ModelCapabilities

Get capability summary for this model.

fn version(&self) -> String

Get a version identifier for the model configuration/weights.

impl StreamingCapable for ALBERTNER

fn extract_entities_streaming( &self, chunk: &str, offset: usize, ) -> Result<Vec<Entity>, Error>

Extract entities from a chunk of text, adjusting offsets by the chunk’s position.

fn recommended_chunk_size(&self) -> usize

Get the recommended chunk size for streaming extraction.

impl NamedEntityCapable for ALBERTNER