Homepage

transformers

Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

< Back for full overview of transformers vulnerabilities

Package versions

237 VERSIONS IN TOTAL
versionpublisheddirect vulnerabilities
4.33.05 Sep, 2023
  • 2
    C
  • 12
    H
  • 10
    M
  • 3
    L
4.32.128 Aug, 2023
  • 2
    C
  • 12
    H
  • 10
    M
  • 3
    L
4.32.022 Aug, 2023
  • 2
    C
  • 12
    H
  • 10
    M
  • 3
    L
4.31.018 Jul, 2023
  • 2
    C
  • 12
    H
  • 10
    M
  • 3
    L
4.30.213 Jun, 2023
  • 2
    C
  • 12
    H
  • 10
    M
  • 3
    L
4.30.19 Jun, 2023
  • 2
    C
  • 12
    H
  • 10
    M
  • 3
    L
4.30.08 Jun, 2023
  • 2
    C
  • 12
    H
  • 10
    M
  • 3
    L
4.29.216 May, 2023
  • 2
    C
  • 12
    H
  • 11
    M
  • 3
    L
4.29.111 May, 2023
  • 2
    C
  • 12
    H
  • 11
    M
  • 3
    L
4.29.010 May, 2023
  • 2
    C
  • 12
    H
  • 11
    M
  • 3
    L
4.28.114 Apr, 2023
  • 2
    C
  • 12
    H
  • 11
    M
  • 3
    L
4.28.013 Apr, 2023
  • 2
    C
  • 12
    H
  • 11
    M
  • 3
    L
4.27.429 Mar, 2023
  • 2
    C
  • 12
    H
  • 11
    M
  • 3
    L
4.27.323 Mar, 2023
  • 2
    C
  • 12
    H
  • 11
    M
  • 3
    L
4.27.220 Mar, 2023
  • 2
    C
  • 12
    H
  • 11
    M
  • 3
    L
4.27.115 Mar, 2023
  • 2
    C
  • 12
    H
  • 11
    M
  • 3
    L
4.27.015 Mar, 2023
  • 2
    C
  • 12
    H
  • 11
    M
  • 3
    L
4.26.19 Feb, 2023
  • 2
    C
  • 12
    H
  • 11
    M
  • 3
    L
4.26.024 Jan, 2023
  • 2
    C
  • 12
    H
  • 11
    M
  • 3
    L
4.25.11 Dec, 2022
  • 2
    C
  • 12
    H
  • 11
    M
  • 3
    L

Automatically find and fix vulnerabilities affecting your projects. Snyk scans for vulnerabilities and provides fixes for free.

Get started free