Factual package intelligence from PyPI

embedding-as-service 3.1.2 package intelligence

embedding-as-service: one-stop solution to encode sentence to vectors using various embedding methods

pip install embedding-as-service

Current version
3.1.2
Python requirement
>=3.6
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
255.9 KiB
Release history
32 releases with files
Median release cadence
0 days

embedding-as-service dependencies

PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. keras ==2.2.4
  2. tqdm ==4.32.2
  3. numpy ==1.16.4
  4. requests ==2.21.0
  5. bert-tensorflow ==1.0.1
  6. tensorflow-hub ==0.4.0
  7. smart-open ==6.2.0
  8. tensorflow ==1.15.2
  9. setuptools >=41.0.0
  10. sentencepiece ==0.1.85
  11. zmq ==0.0.0

Compatibility and release files

embedding-as-service publishes 1 wheel and 1 source archive for version 3.1.2. Wheel platform tags: any.

Declared Python classifiers: 3.6.

Release activity and sources

PyPI lists 32 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .