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Author:
None
License:
MIT License
Copyright (c) 2025 Nathan Inkiriwang
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated ...
Summary:
A Python package to compress text embeddings using various dimensionality reduction and quantization techniques, and evaluate their quality with a comprehensive intrinsic framework including the EOSk metric.
Latest version:
0.3.0
Required dependencies:
datasets
|
numpy
|
pacmap
|
scikit-learn
|
sentence-transformers
|
torch
|
tqdm
|
umap-learn
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