RuntimeError: Error(s) in loading state_dict for YOLOX:

windows下面，使用默认推理：
Traceback (most recent call last):
File "E:/comm_Item/Item_done/YOLOX/YOLOX/tools/demo.py", line 306, in
main(exp, args)
File "E:/comm_Item/Item_done/YOLOX/YOLOX/tools/demo.py", line 274, in main
model.load_state_dict(ckpt["model"])
File "C:\ProgramData\Anaconda3\envs\yolov5\lib\site-packages\torch\nn\modules\module.py", line 1223, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for YOLOX:
size mismatch for head.cls_preds.0.weight: copying a param with shape torch.Size([3, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([80, 128, 1, 1]).
size mismatch for head.cls_preds.0.bias: copying a param with shape torch.Size([3]) from checkpoint, the shape in current model is torch.Size([80]).
size mismatch for head.cls_preds.1.weight: copying a param with shape torch.Size([3, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([80, 128, 1, 1]).
size mismatch for head.cls_preds.1.bias: copying a param with shape torch.Size([3]) from checkpoint, the shape in current model is torch.Size([80]).
size mismatch for head.cls_preds.2.weight: copying a param with shape torch.Size([3, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([80, 128, 1, 1]).
size mismatch for head.cls_preds.2.bias: copying a param with shape torch.Size([3]) from checkpoint, the shape in current model is torch.Size([80]).

Start with the Windows inference entry point in tools/demo.py, especially main and the model.load_state_dict call shown in the traceback. Reproduce the default inference command and inspect how the model configuration and checkpoint are selected. Done means the checkpoint loads without the reported class-prediction size mismatches.