from transformers_neuronx.mixtral.model import MixtralForSampling
import torch

def model_fn(model_dir):
    # Load the Neuron-compiled model from the directory
    model = MixtralForSampling.from_pretrained(model_dir)
    return model

def predict_fn(input_data, model):
    # Implement prediction logic
    with torch.no_grad():
        outputs = model(**input_data)
    return outputs