Skip to main content

Retrieve pre-trained models and cache it locally

Project description

# retrieve

![Code Sample](https://i.imgur.com/2vSkGIB.png)

No-frills library to download pre-trained models, cache it and return the local path.

## Motivation When using pre-trained ML models in your projects, majority of them require you to manually download the data/model weights and then specify the path in your code. Everyone in your team has to go through the same trouble of manually setting this up before they can run your models.

The idea with this library is automate this and make using pre-trained models as easy as possible.

## Installation ` pip install -U retrieve `

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

retrieve-0.0.4.tar.gz (2.0 kB view details)

Uploaded Source

Built Distribution

retrieve-0.0.4-py3-none-any.whl (3.3 kB view details)

Uploaded Python 3

File details

Details for the file retrieve-0.0.4.tar.gz.

File metadata

  • Download URL: retrieve-0.0.4.tar.gz
  • Upload date:
  • Size: 2.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.0 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for retrieve-0.0.4.tar.gz
Algorithm Hash digest
SHA256 ea5de3fa0287ec139c69a72b7775f5a2d64598be470d36239c1fc03869486cd6
MD5 5216259f89fee365be42e7c57a5052e2
BLAKE2b-256 fb41c2862cfc0882853a06941dbd185a5dec7aa7b63fe9cd25089d5665384ce4

See more details on using hashes here.

Provenance

File details

Details for the file retrieve-0.0.4-py3-none-any.whl.

File metadata

  • Download URL: retrieve-0.0.4-py3-none-any.whl
  • Upload date:
  • Size: 3.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.0 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for retrieve-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 da379d615c391e01aa84da5b2ceafacf743e6483bfdd95c9d9ce4374b81b8d45
MD5 699ee643b3b74fe19ae43e6f449a36b1
BLAKE2b-256 64f1deba09c19f6c1b3f25e5ce000bf24a2d7d10ef79cb11892884c36a72e41a

See more details on using hashes here.

Provenance

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