Skip to main content

Production-ready LASER multilingual embeddings (Fork)

Project description

LASER embeddings

This project is a fork of https://github.com/yannvgn/laserembeddings with minimal changes.

Version 1.2.0. What's new?

  • increased minimal version of Torch, Sacremoses and Python in .toml file

LASER embeddings maps similar sentences in any language to similar language-agnostic embeddings

laserembeddings is a pip-packaged, production-ready port of Facebook Research's LASER (Language-Agnostic SEntence Representations) to compute multilingual sentence embeddings.

If you want to see full version of description, please go to the original project homepage : https://github.com/yannvgn/laserembeddings.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

laserembeddings_fork-1.2.2.tar.gz (10.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

laserembeddings_fork-1.2.2-py3-none-any.whl (12.4 kB view details)

Uploaded Python 3

File details

Details for the file laserembeddings_fork-1.2.2.tar.gz.

File metadata

  • Download URL: laserembeddings_fork-1.2.2.tar.gz
  • Upload date:
  • Size: 10.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for laserembeddings_fork-1.2.2.tar.gz
Algorithm Hash digest
SHA256 fa809a373ade7c607c71b79278957546cbb73772be2ad0e8d1395e6ce04eed9f
MD5 4cc955b6d8e15be426a6cb20b8ea82b6
BLAKE2b-256 7207bd5e9a0310f574a11ff2c8c8c6bbe031b5f8e56668e48f38def2c058bbc2

See more details on using hashes here.

File details

Details for the file laserembeddings_fork-1.2.2-py3-none-any.whl.

File metadata

File hashes

Hashes for laserembeddings_fork-1.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 311fdf0f944eb61b859eca4774f9175290214d93cb35a7bf61ffb3d08c5575cf
MD5 e07085e651a915f7c1bf3d491fe27e2a
BLAKE2b-256 0f7fa80d8114b625274ed875d063e61de1a74f4683df50fe1f54d74e0aa6c64e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page