# init_model.py

import os
import torch
from evo_model import EvoTransformerForClassification, EvoTransformerConfig

# ✅ Make sure the folder exists
os.makedirs("trained_model", exist_ok=True)

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

# ✅ Save the model and config in HF format
model.save_pretrained("trained_model")  # includes config.json + pytorch_model.bin
print("✅ EvoTransformer initial model saved to 'trained_model/'")