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.
Package versions
212 VERSIONS IN TOTAL
| version | published | direct vulnerabilities |
|---|---|---|
| 4.30.1 | 9 Jun, 2023 |
|
| 4.30.0 | 8 Jun, 2023 |
|
| 4.29.2 | 16 May, 2023 |
|
| 4.29.1 | 11 May, 2023 |
|
| 4.29.0 | 10 May, 2023 |
|
| 4.28.1 | 14 Apr, 2023 |
|
| 4.28.0 | 13 Apr, 2023 |
|
| 4.27.4 | 29 Mar, 2023 |
|
| 4.27.3 | 23 Mar, 2023 |
|
| 4.27.2 | 20 Mar, 2023 |
|
| 4.27.1 | 15 Mar, 2023 |
|
| 4.27.0 | 15 Mar, 2023 |
|
| 4.26.1 | 9 Feb, 2023 |
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| 4.26.0 | 24 Jan, 2023 |
|
| 4.25.1 | 1 Dec, 2022 |
|
| 4.25.0 | 1 Dec, 2022 |
|
| 4.24.0 | 1 Nov, 2022 |
|
| 4.23.1 | 11 Oct, 2022 |
|
| 4.23.0 | 10 Oct, 2022 |
|
| 4.22.2 | 27 Sep, 2022 |
|