Skip to main content

vid2seq - Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning

Project description

vid2seq

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

vid2seq-0.0.1.dev0-py3-none-any.whl (1.4 kB view details)

Uploaded Python 3

File details

Details for the file vid2seq-0.0.1.dev0-py3-none-any.whl.

File metadata

File hashes

Hashes for vid2seq-0.0.1.dev0-py3-none-any.whl
Algorithm Hash digest
SHA256 54af29f9fc3ed4d9bc3d1dfadac1c14b43752ffe625b7b054e455495fa6a3701
MD5 27f26e93a679eedad9d161873b37bb7c
BLAKE2b-256 a18cff3d2364d5b9941adfc591310801df2f2fd86f60e1f64876545c990c7ead

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