Factual package intelligence from PyPI

TextEmbedCompress 0.3.0 package intelligence

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.

pip install textembedcompress

Current version
0.3.0
Python requirement
>=3.8
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
45.6 KiB
Release history
2 releases with files
Median release cadence
0 days

TextEmbedCompress dependencies

PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=1.9.0
  2. numpy >=1.20.0
  3. sentence-transformers >=2.2.0
  4. scikit-learn >=1.0.0
  5. umap-learn >=0.5.0
  6. pacmap >=0.5.0
  7. datasets >=2.0.0
  8. tqdm >=4.60.0

Compatibility and release files

TextEmbedCompress publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .