import torch

model_path = r'C:\Users\marco\financebert\model.safetensors'
try:
    # Try loading the model directly
    model = torch.load(model_path)
    print("Model loaded successfully:", model)
except Exception as e:
    print("Failed to load the model directly:", str(e))

    # If direct loading fails, consider that the file might need handling of specific layers or configs
    try:
        # Sometimes models are wrapped in a dictionary or other structures
        model_data = torch.load(model_path, map_location=torch.device('cpu'))
        print("Model data loaded, attempt to extract model:", model_data.keys())
        
        # If model is under a specific key or requires further processing
        if 'model' in model_data:
            model = model_data['model']
            print("Extracted model from dictionary:", model)
        else:
            print("Check the keys in model_data and adjust accordingly")
    except Exception as e2:
        print("Failed in adjusted loading approach:", str(e2))