init_save.py

# init_save.py

import os
import torch
from evo_model import EvoTransformerForClassification, EvoTransformerConfig

# ✅ Ensure the directory exists
os.makedirs("trained_model", exist_ok=True)

# Create config and model instance
config = EvoTransformerConfig()
model = EvoTransformerForClassification(config)

# Save initial model and config
model.save_pretrained("trained_model")
print("✅ Initial EvoTransformer saved to trained_model/")