Skip to main content

FAIR Sequence Modeling Toolkit (Native)

Project description

https://github.com/facebookresearch/fairseq2

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 Distributions

If you're not sure about the file name format, learn more about wheel file names.

fairseq2n-0.8.1-cp312-cp312-manylinux_2_28_x86_64.whl (3.2 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ x86-64

fairseq2n-0.8.1-cp312-cp312-macosx_14_0_arm64.whl (2.7 MB view details)

Uploaded CPython 3.12macOS 14.0+ ARM64

fairseq2n-0.8.1-cp311-cp311-manylinux_2_28_x86_64.whl (3.2 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ x86-64

fairseq2n-0.8.1-cp311-cp311-macosx_14_0_arm64.whl (2.7 MB view details)

Uploaded CPython 3.11macOS 14.0+ ARM64

fairseq2n-0.8.1-cp310-cp310-manylinux_2_28_x86_64.whl (3.2 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ x86-64

fairseq2n-0.8.1-cp310-cp310-macosx_14_0_arm64.whl (2.7 MB view details)

Uploaded CPython 3.10macOS 14.0+ ARM64

File details

Details for the file fairseq2n-0.8.1-cp312-cp312-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for fairseq2n-0.8.1-cp312-cp312-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 1a150c74ae764db7f5d7a3b2391e99c3eda21f33020e58b53ba1400020d789da
MD5 290ad0970312914ba8c75476c5179cdc
BLAKE2b-256 aa585d6cd23c1ea632e0ae29618a91f5623e2243001d90407ebb2674e151a9a7

See more details on using hashes here.

File details

Details for the file fairseq2n-0.8.1-cp312-cp312-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for fairseq2n-0.8.1-cp312-cp312-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 7d0e722b3947de495ea857bdd22af5aa262d2f1226a9b912df40960ade1f6364
MD5 240f508f97c906b6ab7a8eb03a451056
BLAKE2b-256 447f5b0a64da6a1ba61ee1d9427686b39083decac6cc775fcb2ef98345b62b74

See more details on using hashes here.

File details

Details for the file fairseq2n-0.8.1-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for fairseq2n-0.8.1-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 7a28476f7eda430cd4c66afe7eb93d6b7bee722fbd62c64028028de08fedcc0c
MD5 4c86c98108af878753963bfd607d82a9
BLAKE2b-256 50aa41a4d860b2f97724d86bc48bcccf0d38169010581dd5b1a767b634e09327

See more details on using hashes here.

File details

Details for the file fairseq2n-0.8.1-cp311-cp311-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for fairseq2n-0.8.1-cp311-cp311-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 85920fe08d0fd5d071f9264f12b6b47fb88aafd82351b0b8e43fe705392e245a
MD5 3f490ee92b505125442f733c615d7e53
BLAKE2b-256 9817bd8205da98b235a14f7ba2373472653b9dfef7845c1d2647eb491747634d

See more details on using hashes here.

File details

Details for the file fairseq2n-0.8.1-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for fairseq2n-0.8.1-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 a47a3556fc3f7b4834e4a9326d2b1c30caa608b07f7efe892e40ff2ace284666
MD5 83220190723187396a5c6d907313dd0d
BLAKE2b-256 673963050ee9a2c1bfe5233803fa3972ee29c8f0f6c3c4d5440b68450f7f3ff4

See more details on using hashes here.

File details

Details for the file fairseq2n-0.8.1-cp310-cp310-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for fairseq2n-0.8.1-cp310-cp310-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 e9caa61dbbf87179f5828bc55fe183d9bff099617e4c3802e9a428c86d8f2055
MD5 ba33749e93264b4e1eee8e55275d2a8a
BLAKE2b-256 23dd1a5ea91a11200ee65ea2c59886e73fbb7c15c91a8ac18f669e41bf07a06c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page