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transformers vulnerabilities

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.

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Package versions

212 VERSIONS IN TOTAL
versionpublisheddirect vulnerabilities
4.22.116 Sep, 2022
  • 2
    C
  • 9
    H
  • 12
    M
  • 3
    L
4.22.014 Sep, 2022
  • 2
    C
  • 9
    H
  • 12
    M
  • 3
    L
4.21.35 Sep, 2022
  • 2
    C
  • 9
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  • 12
    M
  • 3
    L
4.21.224 Aug, 2022
  • 2
    C
  • 9
    H
  • 12
    M
  • 3
    L
4.21.14 Aug, 2022
  • 2
    C
  • 9
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  • 12
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  • 3
    L
4.21.027 Jul, 2022
  • 2
    C
  • 9
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  • 12
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  • 3
    L
4.20.121 Jun, 2022
  • 2
    C
  • 9
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  • 12
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  • 3
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4.20.016 Jun, 2022
  • 2
    C
  • 9
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  • 12
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  • 3
    L
4.19.410 Jun, 2022
  • 2
    C
  • 9
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  • 12
    M
  • 3
    L
4.19.39 Jun, 2022
  • 2
    C
  • 9
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  • 12
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  • 3
    L
4.19.216 May, 2022
  • 2
    C
  • 9
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  • 3
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4.19.113 May, 2022
  • 2
    C
  • 9
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  • 3
    L
4.19.012 May, 2022
  • 2
    C
  • 9
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  • 12
    M
  • 3
    L
4.18.06 Apr, 2022
  • 2
    C
  • 9
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  • 12
    M
  • 3
    L
4.17.03 Mar, 2022
  • 2
    C
  • 9
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  • 12
    M
  • 3
    L
4.16.231 Jan, 2022
  • 2
    C
  • 9
    H
  • 12
    M
  • 3
    L
4.16.128 Jan, 2022
  • 2
    C
  • 9
    H
  • 12
    M
  • 3
    L
4.16.027 Jan, 2022
  • 2
    C
  • 9
    H
  • 12
    M
  • 3
    L
4.15.022 Dec, 2021
  • 2
    C
  • 9
    H
  • 12
    M
  • 3
    L
4.14.115 Dec, 2021
  • 2
    C
  • 9
    H
  • 12
    M
  • 3
    L

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