System Info

- transformers: 5.0.0
- optimum: 2.1.0
- optimum-intel: 1.27.0
- Python: x.y
- Platform: (CPU/OpenVINO)

Who can help?

No response

Information

• The official example scripts
• My own modified scripts

Tasks

• An officially supported task in the examples folder (such as GLUE/SQuAD, ...)
• My own task or dataset (give details below)

Reproduction (minimal, reproducible, runnable)

install optimum, optimum-intel with transformers version 5.x

Expected behavior

Need patch/support to support transformers with version 5.x to overcome the following CVE reported:

A vulnerability in the HuggingFace Transformers library, specifically in the Trainer class, allows for arbitrary code execution. The _load_rng_state() method in src/transformers/trainer.py at line 3059 calls torch.load() without the weights_only=True parameter. This issue affects all versions of the library supporting torch>=2.2 when used with PyTorch versions below 2.6, as the safe_globals() context manager provides no protection in these versions. An attacker can exploit this vulnerability by supplying a malicious checkpoint file, such as rng_state.pth, which can execute arbitrary code when loaded. The issue is resolved in version v5.0.0rc3.

optimum[nncf,openvino] → optimum-intel[openvino] → transformers <4.58

This is expected given current constraints, but users upgrading to
Transformers 5.x are blocked from using Optimum OpenVINO/NNCF
features.