init_model.py

import os
import torch
from evo_model import EvoTransformerConfig, EvoTransformerForClassification

# Ensure folder
os.makedirs("trained_model", exist_ok=True)

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

# Save config and model in Hugging Face format
model.save_pretrained("trained_model")
print("✅ EvoTransformer initial model + config saved to 'trained_model/'")