PyPI page
Home page
Author:
None
License:
MIT
Summary:
Korean static sentence embeddings distilled from BAAI/bge-m3 via model2vec — fast, CPU-friendly, with CLI for encode/similarity/summary and custom domain training
Latest version:
0.1.1
Required dependencies:
model2vec
|
numpy
Optional dependencies:
accelerate
|
datasets
|
fastapi
|
kiwipiepy
|
model2vec
|
onnx
|
onnxruntime
|
pydantic
|
sentence-transformers
|
tokenizers
|
tqdm
|
uvicorn
Downloads last day:
4
Downloads last week:
42
Downloads last month:
263