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from datasets import load_dataset |
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from transformers import Trainer, TrainingArguments, Tacotron2ForConditionalGeneration |
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dataset = load_dataset("m6011/sada2022") |
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najdi_data = dataset.filter(lambda example: example['SpeakerDialect'] == 'Najdi') |
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model = Tacotron2ForConditionalGeneration.from_pretrained("facebook/tacotron2") |
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training_args = TrainingArguments(output_dir="./results", per_device_train_batch_size=16, num_train_epochs=3) |
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trainer = Trainer(model=model, args=training_args, train_dataset=najdi_data) |
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trainer.train() |
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