Skip to main content

No project description provided

Project description

Autodistill autodistill-palm-e

Autodistill banner

The autodistill-palm-e package integrates with the Autodistill ecosystem, a framework for distilling large models into smaller, edge-ready models.

If you are interested in implementing the autodistill-palm-e package for use with Autodistill, leave an issue on the main Autodistill GitHub repository to discuss getting started.

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

autodistill-palm-e-0.0.1.tar.gz (1.7 kB view details)

Uploaded Source

Built Distribution

autodistill_palm_e-0.0.1-py3-none-any.whl (1.7 kB view details)

Uploaded Python 3

File details

Details for the file autodistill-palm-e-0.0.1.tar.gz.

File metadata

  • Download URL: autodistill-palm-e-0.0.1.tar.gz
  • Upload date:
  • Size: 1.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.6

File hashes

Hashes for autodistill-palm-e-0.0.1.tar.gz
Algorithm Hash digest
SHA256 d6d6ae712ec087e57f19891e8329f623c134d3e70741e6b70b9cb71f762140e3
MD5 4cfa7057a0299c0cb217c0487f7a05ed
BLAKE2b-256 18fd9c524c3692719defa3503ef53254ca372bbe174b2fa4d3b1682e9044077e

See more details on using hashes here.

File details

Details for the file autodistill_palm_e-0.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for autodistill_palm_e-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 151ff81fb3aaadb91af2dc42fc18e3a630a67b4a4140a627605f2440c2b26eb6
MD5 3783fe097b6d23515bdeaf84bc6e689e
BLAKE2b-256 47522d46b2031405b4f7b0d64b9b835324b338cbc7556eee2f0a2001ba016948

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