def model_fn()

in sagemaker/src/hf_train_deploy.py [0:0]

• 5 lines of code
• 2 McCabe index (conditional complexity)

def model_fn(model_dir):
    """Load model"""
    
    device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
    print(os.listdir(model_dir))
    model = AutoModelForSequenceClassification.from_pretrained(model_dir)
    return model.to(device)