update_model.py

from transformers import Trainer, TrainingArguments

def fine_ttm(new_data):
    training_args = TrainingArguments(
        output_dir="./results",
        per_device_train_batch_size=4,
        num_train_epochs=3
    )
    trainer = Trainer(
        model=ttm_model,
        args=training_args,
        train_dataset=new_data
    )
    trainer.train()
    trainer.save_model("updated_ttm")