cde_benchmark/embedders/sentence_transformer_embedder.py

from sentence_transformers import SentenceTransformer
from cde_benchmark.embedders.base_embedder import Embedder


class SentenceTransformerEmbedder(Embedder):
    def __init__(
        self,
        model: SentenceTransformer = None,
        batch_size: int = 16,
        show_progress_bar: bool = True,
    ):
        super().__init__(is_contextual_model=False)
        self.model = model
        self.show_progress_bar = show_progress_bar
        self.batch_size = batch_size

    def embed_queries(self, queries):
        return self.model.encode(
            queries,
            show_progress_bar=self.show_progress_bar,
            batch_size=self.batch_size,
        )

    def embed_documents(self, documents):
        return self.model.encode(
            documents,
            show_progress_bar=self.show_progress_bar,
            batch_size=self.batch_size,
        )