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")
1 maintainer
Metadata
1 maintainer
Release files for superduper-sentence-transformers 0.10.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| superduper_sentence_transformers-0.10.0.tar.gz | 12.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| superduper_sentence_transformers-0.10.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.0 kB
Release files / superduper_sentence_transformers-0.10.0.tar.gz
| Download URL | superduper_sentence_transformers-0.10.0.tar.gz |
|---|---|
| Size | 12.3 kB |
| Tags | Source |
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| Download URL | superduper_sentence_transformers-0.10.0-py3-none-any.whl |
|---|---|
| Size | 11.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
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