Skip to main content

Automatically distill large foundational models into smaller, in-domain models for deployment

Project description

Automatically distill large foundational models into smaller, in-domain models for deployment

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_grounded_sam-0.1.2.tar.gz (10.4 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file autodistill_grounded_sam-0.1.2.tar.gz.

File metadata

File hashes

Hashes for autodistill_grounded_sam-0.1.2.tar.gz
Algorithm Hash digest
SHA256 0e691f749b9809e030892fc7214eec11d1a06dc56000b2b1687f08e2c542a38b
MD5 2324ff8662c7af17264d3afbb551538c
BLAKE2b-256 9b5f221d0f7b60c17cbd272051e4fccd9aa085f131afbf17a18056cd02172ad9

See more details on using hashes here.

File details

Details for the file autodistill_grounded_sam-0.1.2-py3-none-any.whl.

File metadata

File hashes

Hashes for autodistill_grounded_sam-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 eb0f337581c36e07b1e90e14cf53626a32f067c0d7618681c4f6c68a861fe93b
MD5 037ea0663c3f3a16e4535fee513d6c4b
BLAKE2b-256 5dd13b78e1e489c845add786b6b2ac3068b9811725ef59a443ee5609144190ef

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