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from evo_model import EvoTransformerConfig, EvoTransformerForClassification
import os
def initialize_and_save_model(save_path="trained_model"):
config = EvoTransformerConfig()
model = EvoTransformerForClassification(config)
os.makedirs(save_path, exist_ok=True)
model.save_pretrained(save_path)
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