Multimodal Extension Library for PyTorch HuggingFace Transformers

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Ken Gu
  • Maintainer: Akash Saravanan
  • Tags pytorch, multimodal, transformers, huggingface
  • Requires: Python >=3.7
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 akashsara from gravatar.com akashsara Avatar for kgu from gravatar.com kgu

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Ken Gu
  • Maintainer: Akash Saravanan
  • Tags pytorch, multimodal, transformers, huggingface
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

This version

0.4.0

0.3.1

0.3.0

0.2a0 pre-release

0.1.4a0 pre-release

0.1.3a0 pre-release

0.1.2a0 pre-release

Download files

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

Source Distribution

multimodal_transformers-0.4.0.tar.gz (31.6 kB view details)

Uploaded Source

Built Distribution

multimodal_transformers-0.4.0-py3-none-any.whl (29.8 kB view details)

Uploaded Python 3

File details

Details for the file multimodal_transformers-0.4.0.tar.gz.

File metadata

File hashes

Hashes for multimodal_transformers-0.4.0.tar.gz
Algorithm Hash digest
SHA256 ac16f8a64cdd0a4e59c4606e2a10c8c0ed88a65b09f02f8a17ba175377a9aeeb
MD5 ff6a67f092f51b01794ef082f6ebd0c6
BLAKE2b-256 ab8a3e35ece2ce0f3bef6c85bd642ab441f788f28253bb182b4acb0fbd17607d

See more details on using hashes here.

File details

Details for the file multimodal_transformers-0.4.0-py3-none-any.whl.

File metadata

File hashes

Hashes for multimodal_transformers-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3338c79d2d8bf7d3e8ffc1313bc7fd7306c5003407db0a961be5777d69a7a030
MD5 4219bcfcc37972795b01172584ec6a5d
BLAKE2b-256 2fab7c839a1da28bd7dd74ef5a8b87d1e3e41225269bb4c7b05a68575809df7c

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