I found the right way
```
from gluoncv import model_zoo, data, utils
from matplotlib import pyplot as plt
net = model_zoo.get_model('yolo3_darknet53_voc', pretrained=True)
my_classes = ['car']
net.reset_class(classes=my_classes, reuse_weights=my_classes)
x = nd.random.uniform(shape=(1, 3, 512, 512))
_ = net(x)
net.export("sample_model")
```
Then, the model can be imported with gluon.nn.SymbolBlock.imports.
Note that the classes parameters won't be available and so you can run an
assignment as
```
imported_model.class = my_classes
```
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