Factual package intelligence from PyPI

laser-encoders 0.0.2 package intelligence

LASER Language-Agnostic SEntence Representations is a toolkit to calculate multilingual sentence embeddings and to use them for document classification, bitext filtering and mining

pip install laser-encoders

Current version
0.0.2
Python requirement
>=3.8
License
BSD License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
42.7 KiB
Release history
2 releases with files
Median release cadence
163 days

laser-encoders dependencies

PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. sacremoses ==0.1.0
  2. unicategories >=0.1.2
  3. sentencepiece >=0.1.99
  4. numpy >=1.21.3
  5. torch >=1.10.0
  6. fairseq >=0.12.2

Compatibility and release files

laser-encoders publishes 1 wheel and 1 source archive for version 0.0.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

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 .