Problem with .onnx model loading

I am trying to run the custom model (yolov3) and I uploaded the weights according to the training example in jupyter notebook. Unfortunately, I have a strange problem with model creation, which does not allow me to proceed with the working flow. The model weights are from github source: https://github.com/onnx/models/tree/main/vision/object_detection_segmentation/yolov3.

The error message is:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
/home/orange/project/aidge/examples/tutorials/Aidge_tutorial/load_and_run.ipynb Cell 13 line 1
----> 1 model = aidge_onnx.load_onnx("/home/orange/project/aidge/examples/tutorials/Aidge_tutorial/yolov3-10.onnx")
      2 #("/home/orange/project/aidge/examples/tutorials/Aidge_tutorial/yolov3-12.onnx")

File ~/project/aidge/.venv/lib/python3.10/site-packages/aidge_onnx/onnx_loader.py:31, in load_onnx(filename, verbose)
     29 # Load the ONNX model
     30 model = onnx.load(filename)
---> 31 return _load_onnx2graphview(model, verbose)

File ~/project/aidge/.venv/lib/python3.10/site-packages/aidge_onnx/onnx_loader.py:75, in _load_onnx2graphview(model, verbose)
     73             model_inputs[node_name][id_learnable_parameter] = model_producers[input_node]
     74             id_learnable_parameter+=1
---> 75     model_nodes[node_name] = ONNX_NODE_CONVERTER_[onnx_node.op_type.lower()](onnx_node, model_inputs[node_name])
     77 # Add nodes to the model_inputs dict
     78 for onnx_node in model.graph.node:

File ~/project/aidge/.venv/lib/python3.10/site-packages/aidge_onnx/node_converter/converters/conv.py:59, in import_conv(onnx_node, input_nodes)
     57 in_channels = input_nodes[1].get_operator().output(0).dims()[1]
     58 if f"Conv{len(kernel_dims)}D" in dir(aidge_core):
---> 59     conv_node = aidge_core.__getattribute__(f"Conv{len(kernel_dims)}D")(
     60         in_channels,
     61         out_channels,
     62         kernel_dims,
...

TypeError: Conv2D(): incompatible function arguments. The following argument types are supported:
    1. (in_channels: int, out_channels: int, kernel_dims: List[int], name: str = '', stride_dims: List[int] = [1, 1], dilation_dims: List[int] = [1, 1]) -> aidge_core.aidge_core.Node

Invoked with: 3, 32, [3, 3]; kwargs: name='convolution_output74', stride_dims=[1, 1], padding_dims=0, dilation_dims=[1, 1]