Charm_15 / model_2_of_278.safetensors
GeminiFan207's picture
Rename model_2_of_10.safetensors to model_2_of_278.safetensors
2f2ac78 verified
import torch
from safetensors.torch import load_model, save_model
import logging
# Logging setup
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...")
# Implement AI logic here (depends on actual model architecture)
return "Inference result"
else:
logging.warning("No model loaded. Cannot perform inference.")
return None