You should be able to make it just a touch simpler with something like this
path = Path("/tmp")
classes = ["Bobcat", "Mountain-Lion", "Domestic-Cat", "Western-Bobcat", "Canada-Lynx", "North-American- Mountain-Lion", "Eastern-Bobcat", "Central-American-Ocelot", "Ocelot", "Jaguar"]
empty_ds = ImageClassificationDataset([classes[0]], [classes[0]], classes)
data = ImageDataBunch.create(empty_ds, empty_ds, path=path, ds_tfms=get_transforms(), size=224)
learn = ConvLearner(data, models.resnet34)
learn.load('/whatever/')