| 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 |