Rotary Embedding - Pytorch

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for lucidrains from gravatar.com lucidrains

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Phil Wang
  • Tags artificial intelligence, deep learning, positional embedding
Classifiers

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for lucidrains from gravatar.com lucidrains

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Phil Wang
  • Tags artificial intelligence, deep learning, positional embedding
Classifiers

Release history Release notifications | RSS feed

0.8.5

0.8.4

0.8.3

0.8.2

0.8.1

0.8.0

0.7.0

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.5.3

0.5.2

0.5.1

0.5.0

0.4.0

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.3.0

0.2.7

0.2.6

0.2.5

This version

0.2.4

0.2.3

0.2.2

0.2.1

0.1.5

0.1.4

0.1.2

0.1.1

0.1.0

0.0.12

0.0.11

0.0.10

0.0.9

0.0.8

0.0.6

0.0.4

0.0.3

0.0.2

0.0.1

Download files

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

Source Distribution

rotary-embedding-torch-0.2.4.tar.gz (5.5 kB view details)

Uploaded Source

Built Distribution

rotary_embedding_torch-0.2.4-py3-none-any.whl (4.5 kB view details)

Uploaded Python 3

File details

Details for the file rotary-embedding-torch-0.2.4.tar.gz.

File metadata

File hashes

Hashes for rotary-embedding-torch-0.2.4.tar.gz
Algorithm Hash digest
SHA256 d4c2b62bc8f68996c9d2ea96917ebaed68f355126a71c1095ffb15690bbf2dec
MD5 941af5254aa3f200b31b5ce9f4f0cebe
BLAKE2b-256 496f328a4caea645466c1a0e91f436263253b249c63e7aa1026bd297912b88c3

See more details on using hashes here.

File details

Details for the file rotary_embedding_torch-0.2.4-py3-none-any.whl.

File metadata

File hashes

Hashes for rotary_embedding_torch-0.2.4-py3-none-any.whl
Algorithm Hash digest
SHA256 4759d7bf8985bc33ccf831ec0a6adadb10548b5fc32ef44064e77b0137b04d5f
MD5 c89808235bbd978134fb3808dc5123dd
BLAKE2b-256 7ef5d53aa65d2f481330524fbd08c36f4559050656d26fb7c125761ccf3d7e0d

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