Skip to main content

Scandinavian Embedding Benchmark

Project description

Scandinavian Embedding Benchmark

PyPI Python Version documentation Tests Black

A benchmark for evaluating sentence/document embeddings of Scandinavian language models.

Installation

You can install the Scandinavian Embedding Benchmark (seb) via pip from PyPI:

pip install seb

To see more examples, see the documentation.

📖 Documentation

Documentation
🔧 Installation Installation instructions on how to install this package
👩‍💻 Usage Introduction on how to use the package
📖 Documentation A minimal and developing documentation

💬 Where to ask questions

Type
🚨 Bug Reports GitHub Issue Tracker
🎁 Feature Requests & Ideas GitHub Issue Tracker
👩‍💻 Usage Questions GitHub Discussions
🗯 General Discussion GitHub Discussions

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

seb-0.2.3.tar.gz (1.7 MB view details)

Uploaded Source

Built Distribution

seb-0.2.3-py3-none-any.whl (18.9 kB view details)

Uploaded Python 3

File details

Details for the file seb-0.2.3.tar.gz.

File metadata

  • Download URL: seb-0.2.3.tar.gz
  • Upload date:
  • Size: 1.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for seb-0.2.3.tar.gz
Algorithm Hash digest
SHA256 b57b5a1fcfc6d998d2686f4142cfe40f1f45a0e7bf258281e2950a08594e83ca
MD5 d2eebd79e23c0834a8901cf8fc43af23
BLAKE2b-256 aa6a61617605fddb74510194a3f7131af53014bd2c78fc65a402a999a8843571

See more details on using hashes here.

File details

Details for the file seb-0.2.3-py3-none-any.whl.

File metadata

  • Download URL: seb-0.2.3-py3-none-any.whl
  • Upload date:
  • Size: 18.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for seb-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 3b73fa3b28c9a2fab7b29a2dd2224286025619b9c9e5496878434822aa5baa56
MD5 47282f893f1de0f7631bbd7094b451ca
BLAKE2b-256 850a45ed464d065b8e9f88d01c2fd6f338398964934ce738c184f980594346a8

See more details on using hashes here.

Supported by

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