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c

com.johnsnowlabs.nlp.annotators.ner

Gliner2EmbeddingExtractor

class Gliner2EmbeddingExtractor extends Serializable

Extracts token and schema embeddings from encoder output. Mirrors Python's extract_embeddings_from_batch().

This component:

  1. Uses mapped_indices to separate text tokens from schema tokens
  2. Aggregates subword embeddings into word-level embeddings
  3. Extracts special token embeddings for schema tasks
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Instance Constructors

  1. new Gliner2EmbeddingExtractor(config: Gliner2Config)

    config

    Gliner2 configuration

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  8. def extractFromBatch(encoderOutput: Gliner2EncoderOutput, dataProcessor: Gliner2DataProcessor): Array[Gliner2ProcessedEmbeddings]

    Extract embeddings for all samples in batch.

    Extract embeddings for all samples in batch.

    encoderOutput

    Output from encoder ONNX

    dataProcessor

    Data processor for access to tokenizer and other utilities

    returns

    Array of sample embeddings

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