Factual package intelligence from PyPI

sent2vec 0.3.0 package intelligence

How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.

pip install sent2vec

Current version
0.3.0
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
16.3 KiB
Release history
15 releases with files
Median release cadence
0 days

sent2vec dependencies

PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. transformers
  2. torch
  3. numpy
  4. gensim
  5. spacy
  6. pytest

Compatibility and release files

sent2vec publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.

Declared Python classifiers: 3.7.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 15 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .