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

This version

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

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-1.9.10.tar.gz (10.1 kB view details)

Uploaded Source

Built Distribution

local_attention-1.9.10-py3-none-any.whl (8.8 kB view details)

Uploaded Python 3

File details

Details for the file local_attention-1.9.10.tar.gz.

File metadata

  • Download URL: local_attention-1.9.10.tar.gz
  • Upload date:
  • Size: 10.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for local_attention-1.9.10.tar.gz
Algorithm Hash digest
SHA256 0ef9edb67824d7fdfb8561de251f592b66c2157f2175974005328f7477e201bc
MD5 6483e05776198f8878ce774e25e1c811
BLAKE2b-256 597007fc0b1236899cbb2709b1f34b04c38592703e343fe3d48c1e879e00d08e

See more details on using hashes here.

File details

Details for the file local_attention-1.9.10-py3-none-any.whl.

File metadata

File hashes

Hashes for local_attention-1.9.10-py3-none-any.whl
Algorithm Hash digest
SHA256 536c1bca30384f03dcfd73e3c9e89047b836dce6825b415378b708b56b37c262
MD5 cd94e6efb9f503a875d6e811ed0a6420
BLAKE2b-256 3b7d2de162870a3a5d6c1143d05f9dcd5de9d50fc8a009eebd56dc9fc669fc35

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