# Import necessary libraries
import torch
import json
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
from model import TranslationModel

# Load pre-trained model and tokenizer
model = AutoModelForSeq2SeqLM.from_pretrained("t5-small")
tokenizer = AutoTokenizer.from_pretrained("t5-small")

# Load custom model
custom_model = TranslationModel()

# Train custom model
custom_model.train(model, tokenizer)

# Save custom model
custom_model.save("custom_model.pth")