human
2.2 (OR) Register a serialized version of the model using the VertaModelBase"
Please write code following the instructions in jupyter notebook style.
assistant
#Here is code to 2.

from verta.registry import VertaModelBase

class FashionMNISTClassifier(VertaModelBase):
    def __init__(self, artifacts):
        self.model = NeuralNetwork()
        model.load_state_dict(torch.load(artifacts["model.pth"]))
        
    def predict(self, batch_input):
        results = []
        for one_input in batch_input:
            with torch.no_grad():
                pred = model(x)
                results.append(pred)
        return results

model_version = registered_model.create_standard_model(
    model_cls=FashionMNISTClassifier,
    environment=Python(requirements=["torch", "torchvision"]),
    artifacts={"model.pth" : "model.pth"},
    name="v2"
)