`ImportError: cannot import name 'amp' from 'apex'` on recent NVIDIA PyTorch Images (25.11)

**Description** I encountered a hard crash when importing GLiNER inside a recent NVIDIA PyTorch Docker container (25.11-py3). The issue is related to the hard dependency on apex.amp. While apex is installed in this environment, the legacy amp module seems to be deprecated/removed in favor of PyTorch's native AMP (torch.cuda.amp), causing the import to fail immediately. **Environment details** ``` OS/Environment: Docker (nvcr.io/nvidia/pytorch:25.11-py3) GLiNER version: (Latest from pip) PyTorch version: 2.9.1 CUDA: 13.0 (As provided by the container) ``` **Steps to Reproduce** 1. Launch the container ```bash docker run --gpus all -it --rm --ipc=host \ -v $HOME/.cache/huggingface:/root/.cache/huggingface \ -v ${PWD}:/workspace -w /workspace \ nvcr.io/nvidia/pytorch:25.11-py3 ``` 2. Install GLiNER ```bash pip install gliner ``` 3. Attempt import ```bash python -c 'from gliner import GLiNER' ``` Traceback: ``` Traceback (most recent call last): File "<string>", line 1, in <module> File "/usr/local/lib/python3.12/dist-packages/gliner/__init__.py", line 3, in <module> from .model import GLiNER File "/usr/local/lib/python3.12/dist-packages/gliner/model.py", line 37, in <module> from .training import Trainer, TrainingArguments File "/usr/local/lib/python3.12/dist-packages/gliner/training/__init__.py", line 1, in <module> from .trainer import Trainer, TrainingArguments File "/usr/local/lib/python3.12/dist-packages/gliner/training/trainer.py", line 22, in <module> from apex import amp ImportError: cannot import name 'amp' from 'apex' (/usr/local/lib/python3.12/dist-packages/apex/__init__.py) ``` Note, this issue also affects GLiNER2 (https://github.com/fastino-ai/GLiNER2/blob/765cab59181d39bd3c01204920799527b15f9f6d/gliner2/trainer.py#L12) For anyone wanting to only run inference, a simple fix is to just wrap the import statement in a try/except block, replacing https://github.com/urchade/GLiNER/blob/7a065864c552823b76212e8d7d0ba68f6891cefc/gliner/training/trainer.py#L22 with ```python try: from apex import amp except ImportError: print("Failed to import amp from apex") ``` But perhaps it would be worth migrating to native `torch.amp` to resolve this?