Loading ONNX model requires config file

Hey! I believe this is a bug. Post ONNX conversion w/ convert_to_onnx.py, a config file is not created, however during inference using GLiNER.from_pretrained() with `load_onnx_model=True` specified, a gliner_config file is required. I tried copying the original config file to the onnx_model directory, it still does not work. I believe this check: ``` # Load config config_file = model_dir / "gliner_config.json" if not config_file.exists(): raise FileNotFoundError(f"No config file found in {model_dir}") ``` should be moved to the if block: ``` if not load_onnx_model: ... ``` I'm unsure if this would cause further breaking changes. This is reproducable across at least 2 environments. gliner version == 0.2.24