superduper_sentence_transformers

superduper allows users to work with self-hosted embedding models via Sentence-Transformers.

Installation

pip install superduper_sentence_transformers

API

Class	Description
`superduper_sentence_transformers.model.SentenceTransformer`	A model for sentence embeddings using `sentence-transformers`.

Examples

SentenceTransformer

from superduper import vector
from superduper_sentence_transformers import SentenceTransformer
import sentence_transformers
model = SentenceTransformer(
    identifier="embedding",
    object=sentence_transformers.SentenceTransformer("BAAI/bge-small-en"),
    datatype=vector(shape=(1024,)),
    postprocess=lambda x: x.tolist(),
    predict_kwargs={"show_progress_bar": True},
)
model.predict("What is superduper")

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