Hi, guys 
I was trying to convert custom trained yolov5s model to tensorflow model for only predict.
First, converting yolov5s to onnx model was successful by running export.py, and to tensorflow representation too.
Pb folder created, and there are assets(but just empty folder), variables folder and saved_model.pb file.
With them, I used tf.keras.models.load_model, the type of model was _UserObject.
I cannot use summary, predict because the model is _UserObject.
Is there something wrong with it?
[version]
tensorflow-gpu : 2.3.0
onnx : 1.8.1
onnx-tf : 1.8.0