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 |
|---|---|---|
| 4.38.0 | 21 Feb, 2024 |
|
| 4.37.2 | 29 Jan, 2024 |
|
| 4.37.1 | 24 Jan, 2024 |
|
| 4.37.0 | 22 Jan, 2024 |
|
| 4.36.2 | 18 Dec, 2023 |
|
| 4.36.1 | 14 Dec, 2023 |
|
| 4.36.0 | 11 Dec, 2023 |
|
| 4.35.2 | 15 Nov, 2023 |
|
| 4.35.1 | 14 Nov, 2023 |
|
| 4.35.0 | 2 Nov, 2023 |
|
| 4.34.1 | 18 Oct, 2023 |
|
| 4.34.0 | 3 Oct, 2023 |
|
| 4.33.3 | 27 Sep, 2023 |
|
| 4.33.2 | 15 Sep, 2023 |
|
| 4.33.1 | 6 Sep, 2023 |
|
| 4.33.0 | 5 Sep, 2023 |
|
| 4.32.1 | 28 Aug, 2023 |
|
| 4.32.0 | 22 Aug, 2023 |
|
| 4.31.0 | 18 Jul, 2023 |
|
| 4.30.2 | 13 Jun, 2023 |
|