Local attention, window with lookback, for language modeling

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 transformers, attention, artificial intelligence
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 transformers, attention, artificial intelligence
Classifiers

Release history Release notifications | RSS feed

1.9.15

1.9.14

1.9.11

1.9.10

1.9.9

1.9.8

1.9.6

1.9.4

1.9.3

1.9.2

1.9.1

1.9.0

1.8.6

1.8.5

1.8.4

1.8.2

1.8.1

1.8.0

1.7.2

1.7.1

1.7.0

1.6.0

1.5.8

1.5.7

1.5.6

1.5.5

1.5.4

1.5.3

1.5.2

This version

1.5.1

1.5.0

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.2.2

1.2.1

1.2.0

1.1.1

1.1.0

1.0.3

1.0.2

1.0.1

1.0.0

Download files

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

Source Distribution

local-attention-1.5.1.tar.gz (7.1 kB view details)

Uploaded Source

Built Distribution

local_attention-1.5.1-py3-none-any.whl (6.8 kB view details)

Uploaded Python 3

File details

Details for the file local-attention-1.5.1.tar.gz.

File metadata

  • Download URL: local-attention-1.5.1.tar.gz
  • Upload date:
  • Size: 7.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.0

File hashes

Hashes for local-attention-1.5.1.tar.gz
Algorithm Hash digest
SHA256 3ab5ec466e473c4bdb4ecb1d691560d6a9c8b893d1d27cb77394182372c66768
MD5 0ab8ac6a943842a4f39a0224c62a4b44
BLAKE2b-256 6d9c49d29152a832b127f3abda990a37bf90d29798ae129fd4ab99ff6ccd7807

See more details on using hashes here.

File details

Details for the file local_attention-1.5.1-py3-none-any.whl.

File metadata

File hashes

Hashes for local_attention-1.5.1-py3-none-any.whl
Algorithm Hash digest
SHA256 b267074c8fd9b3c216a0a92371ca6505261b46edfa6cafd194d124bed8f7c5ba
MD5 f355c346bce5102c1c59ef6d3c1e2800
BLAKE2b-256 b1ab9498c2fcfa01779e43e5186e9b9e379492609a888da5836198a44f16865b

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