| import torch |
| from safetensors.torch import load_model, save_model |
| import logging |
|
|
| |
| logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s") |
|
|
| class CharmModel: |
| """Handles loading and saving advanced safetensors models for Charm 15.""" |
|
|
| def __init__(self, model_path: str): |
| self.model_path = model_path |
| self.model = None |
|
|
| def load(self): |
| """Loads Model 2 of 10 safely with optimized memory handling.""" |
| try: |
| logging.info(f"Loading model from {self.model_path}...") |
| self.model = load_model(torch.nn.Module(), self.model_path) |
| logging.info("Model loaded successfully.") |
| except Exception as e: |
| logging.error(f"Error loading model: {e}") |
|
|
| def save(self, save_path: str): |
| """Saves the model safely in safetensors format.""" |
| if self.model: |
| try: |
| logging.info(f"Saving model to {save_path}...") |
| save_model(self.model, save_path) |
| logging.info("Model saved successfully.") |
| except Exception as e: |
| logging.error(f"Error saving model: {e}") |
| else: |
| logging.warning("No model loaded. Cannot save.") |
|
|
| def infer(self, input_data): |
| """Runs inference on the loaded model (Placeholder for actual logic).""" |
| if self.model: |
| logging.info("Running inference...") |
| |
| return "Inference result" |
| else: |
| logging.warning("No model loaded. Cannot perform inference.") |
| return None |
